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Enrique Herrera-Viedma
Vice-President for Research and Knowledge Transfer
On the behalf of the University of Granada, it is my great pleasure to welcome you to Granada, Spain, for the 7th International Conference on Information Technology and Quantitative Management (ITQM 2019). In Granada we are organizing important international conferences each year, and I would like to thank the International Academy of Information Technology and Quantitative Management, and on behalf of it, its president Prof. Yong Shi, the idea of having thought of our University to organize this conference this year. This will give us the opportunity to know better both the potential of our university, the second university in scientific quality and the leader university in Artificial Intelligence in Spain, and our beautiful city of Granada. I am sure that this conference will be a forum for debate that will allow us to find new ways in which Artificial Intelligence techniques contribute to improving information technologies and quantitative management. I want to thank the local staff, different committees, all participants, session chairs, keynote and plenary speakers and all volunteers for helping us to build this very exciting conference program. I wish event a great success. With best wishes,
Enrique Herrera-Viedma
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Welcome Message from the Conference Organizers
Welcome to the Seventh International Conference on Information Technology and Quantitative Management (ITQM 2019),
November 3-6, 2019, Granada, Spain. The theme of ITQM 2019 is "Information Technology and Quantitative Management based
on Artificial Intelligence". ITQM 2019 is organized by International Academy of Information Technology and Quantitative
Management (IAITQM), Chinese Academy of Sciences and University of Granada.
IAITQM was formally inaugurated on June 3, 2012 with more than 50 founding members from China, United States, Australia, Japan,
Lithuania, Poland, Romania, Spain, Singapore, South Korea, The Netherlands, Turkey and other countries. The International Conference
on Information Technology and Quantitative Management (ITQM), established by IAITQM, is a global forum for exchanging research
findings and case studies that bridge the latest information technology and quantitative management techniques. It explores how the use
of information technology to improve quantitative management techniques and how the development of management tools can reshape
the development of information technology. The First International Conference on Information Technology and Quantitative
Management (ITQM 2013) took place in Suzhou, China. The Second International Conference on Information Technology and
Quantitative Management (ITQM 2014) was held in Moscow, Russia. The Third International Academy of Information Technology and
Quantitative Management (ITQM 2015) was held at Rio de Janeiro, Brazil. The Forth International Academy of Information Technology
and Quantitative Management (ITQM 2016) was held at Asan, Korea. The Fifth International Academy of Information Technology and
Quantitative Management (ITQM 2017) was held at New Delhi, India. The Sixth International Academy of Information Technology and
Quantitative Management (ITQM 2018) was held at Omaha, USA.
ITQM 2019 covers all topics in the broad ranges of Information Technology and quantitative management, including, but not limited
to:
Advances in B2B, B2C and C2C Environments
Advances in Quality Management
Agricultural Markets and International Trade
Human Resource Management
Artifical Intelligence
Investment management
Asset Pricing
Banking regulation and financial services
Brands and Consumer Behavior
Business Analytics Tools
Commodity and Product Pricing
Contemporary Leadership issues
Corporate finance and capital structure
Data Mining and Data Warehousing
Data Science
Digital Learning and Organization
Digital Marketing
Employability Skills and Talent Management
Financial Econometrics
Financial literacy and financial education
Global Recession
IOT (Internet of Things)
IT-enabled quantitative management
Web intelligence
Management of Technology
Managing Global Value Chains
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Market Volatility and Financial Innovation
Mobile technologies and cloud computing
Multicriteria Analysis related to IT-enabled quantitative management
Neuro Marketing
Quantitative management tools
Semantic learning and intelligent awareness
Service Operations Management
Social Media
Social Media and Mobile Marketing
Soft computing methods
Sustainability Issues in Trade
Sustainable Supply Chain Management
Technology for Training and Development
Technology in Banking and Insurance
Big data and Deep learning
Big data in finance
Technical exchanges within the research community will encompass the invited keynote lectures, special sessions, and workshops.
At ITQM 2019, we have invited the following 4 world leading keynote speakers to give their current and future visions about
Information Technology and Quantitative Management:
Shu-Cherng Fang, Walter Clark Chair and Distinguished University Alumni Graduate Professor, North Carolina
State University, USA on “Optimization Models for Sparse Signal Recovery”;
Irene Ng, Turing Fellow, Director, HATLAB@WMG, University of Warwick, Chief Executive Dataswift Ltd
on “Crafting Data Rights and Emerging a Market for Personal Data at the Edge: The Hub-of-All-Things
(HAT)”;
Heeseok Lee, Chair Professor of Strategy and IT, Korea Advanced Institute of Science and Technology, Korea
on “Artificial Intelligence – Emerging Opportunities for Business and Academia”; Enrique Herrera-Viedma, Professor in Computer Science and A.I., University of Granada, Spain on “Bibliometric Tools
for Discovering Information in Science”;
There were more 395 scholars and students from 19 countries and regions submitted their papers to ITQM 2019. The authors are
from Australia, Belgium, Canada, Chile, China, Cuba, Germany, India, Mexico, Romania, Russia, South Korea, Spain, Poland, Portugal,
Serbia, Ukraine, United Kingdom and United States. After the peer-review process, we have accepted 121 high-quality papers from all
submitted papers for presentation at the conference. These papers are published by Elsevier in their Procedia Computer Science series.
They are allocated into 1 General Session, 12 special sessions and 7 workshops.
Like the previous conferences, ITQM 2019 relies strongly on the vital contributions of our workshop organizers to attract high quality
papers in many subject areas. We would like to thank all special session/workshop organizers, ITQM committee members, and reviewers
for their contribution to ensure a high standard for the accepted papers. We would like to express our gratitude to the conference
committees for their enthusiastic work towards the success of ITQM 2019. We owe special thanks to our sponsors: University of Granada,
LifeWatch-ERIC, University of Nebraska at Omaha, USA; Research Center on Fictitious Economy and Data Science and Key Lab of
Big Data Mining and Knowledge Management, Chinese Academy of Sciences; School of Economics and Management, University
Chinese Academy of Sciences; Institutes of Science and Development, Chinese Academy of Sciences; Southwest Minzu University,
China; Business Intelligence Society, Chinese Academy of Management, China and Tainfu International Institute of Big Data Strategy
and Technology, Chengdu, China for their generous support.
We wish you a successful and enjoyable conference at Granada!
November 3-6, Granada, Spain
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The ITQM 2019 Program/Conference Chairs:
1. Conference Organizing Committees：
General Chairs: Enrique Herrera-Viedma and Yong Shi
Honorary Chair: Daniel Berg, James Tien, David Scott and Hesham Ali
Program Chair: Gang Kou and Francisco Javier Cabrerizo
Organizing Chair: Sergio Alonso, Raquel Ureña, Carlos Porcel, Juan Antonio Morente, Yingjie Tian, Julia Cabello and M.J. del Moral
Tutorial Chair: Francisco Chiclana, Francisco Mata and Jing He
Special Sessions and Workshops Chair: Felisa Cordova and Ignacio Javier Pérez
Publications and Proceedings Chair: Ioan Dzitac, Luiz F. Autran M. Gomes and Jongwon Lee
Awards Chair: Heeseok Lee, Florin G. Filip and Yong Shi
Financial Chair: Wikil Kwak and Jianping Li
Publicity Chairs: Manuel Jesus Cobo, Juan Miguel Tapia and Taeho Park
2. Conference Organizers:
International Academy of Information Technology and Quantitative Management (IAITQM)
University of Granada
Chinese Academy of Sciences
University of Nebraska at Omaha
3. Local Committee:
Yuanchun Zheng (Chair)
M.Angeles Martínez
Jesús Cascón
Pedro Lázaro
Javier Lopez-Gijón
Pei Quan
Biao Li
Yi Qu
Xinyue Ren
Yunlong Mi
Jie Yang
Jiayu Xue
Bo Li
Lei Zheng
Yang Xiao
Linzi Zhang
Wei Dai
Mengyu Shang
Yuan An
Program Committee:
Jae-Hyeon Ahn, KAIST Business School, Seoul, Korea
Jin-Ho Ahn, School of Electronic Display, Hoseo University，Korea
Vandana Ahuja, JBS, India
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Fuad Aleskerov, Russian Academy of Sciences, Russia Vassil Alexandrov, Barcelona Supercomputing Center, Spain
Hesham Ali, University of Nebraska at Omaha, USA
A.D. Amar, Seaton Hall University, USA
Alexander Belenky, HSE/Moscow, MIT/Cambridge，Russia
Daniel Berg, Rensselaer Polytechnic Institute, USA
Marian Bubak, AGH University of Science and Technology, Poland
Sergiy Butenko, Texas A&M University, USA
Francisco Javier Cabrerizo, UNED, Spain
Seong Wook Chae, Department of Business Administration at Hoseo University，Korea
Yuanping Chen, Computer Network Information Center, Chinese Academy of Sciences, China
Zhangxin Chen, University of Nebraska at Omaha, USA
Siwei Cheng, Chinese Academy of Sciences, China
Guotai Chi, School of Business Management, Dalian University of Technology, China
Francisco Chiclana, De Montfort University, United Kingdom Vyacheslav V. Chistyakov, NRU HSE, Nijniy Novgorod, Russia
Byounggu Choi, College of Business Administration, Kookmin University，Korea
Raul Colcher, ASSESPRO, Brazil
Pablo Cordero, University of Malaga, Spain
Felisa M. Córdova, University of Santiago de Chile, Santiago, Chile
Helder G. Costa, UFF, Brazil
Frederica Darema, Air Force Office of Scientific Research, USA
Satyabhushan Dash, IIM, Lucknow, India
Pinaki Dasgupta, IMI, Delhi
Debdeep De, JBS, India
Kalyanmoy Deb, India Institute of Technology, India
Hernán Díaz, University of Santiago de Chile, Santiago, Chile
Yucheng Dong, De Montfort University, U.K Jack Dongarra , University of Tennessee, Knoxville, USA
Francisco A. Doria, UFRJ, Brazil
Ioan Dzitac, Agora University, Romania
Xiaodan Fan, Department of Statistics, Chinese University of Hong Kong, China
Shu Cherng Fang, North Carolina State University, USA
Cordova Felisa, University of Santiago of Chile USACH, Chile
Florin Gheorghe Filip, Romanian Academy, Romania
Maria do Carmo Duarte Freites, Federal University of Parana, Curitiba, Brazil
Hamido Fujita, Iwate Prefectural University, Japan
Fred Glover, OptTek Systems, Inc., USA
Michel Grabisch, Paris I, France Carlos F.S. Gomes, UFF, Brazil
Luiz F. Autran M. Gomes, IBMEC, Brazil
Jifa Gu, Chinese Academy of Sciences, China
Kun Guo, Chinese Academy of Sciences, China
M. P. Gupta, IIT, Delhi
Pankaj Gupta, University of Delhi, India
Sang-Tae Han, Department of Applied Statistics, Hoseo University, Korea
Jing He, Victoria University, Australia
Wenxue Huang, Guangzhou University, China
Zhimin Huang, Adelphi University, USA
Vigneswara Ilawarasan, IIT Delhi, India
Hiroshi Inoue, Science University of Tokyo, Japan Wenbin Jiao, Computer Network Information Center, Chinese Academy of Sciences, China
Hyuncheol Kang, Department of Applied Statistics, Hoseo University, Korea
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Young Sik Kang, School of Business Administration at Myongji University，Korea
Sujata Kapoor, JBS, India
Alexander Karminsky, Higher School of Economics, Department of Finance，Russia
Saroj Kaul, Jindal Global Business School, India
Deepak Khazanchi, University of Nebraska at Omaha, USA
Hyeuk Kim, Department of Applied Statistics, Hoseo University, Korea
Hyungjoon Kim, College of Economics & Business Administration at Hanbat National University，Korea
Seongyong Kim, Department of Applied Statistics, Hoseo University, Korea
Gang Kou, Southwest University of Finance and Economics, China
Murat M. Koksalan, Middle East Technical University, Turkey
Jeong-Ho Kwak, School of Business at Hoseo University，Korea
Wikil Kwak, University of Nebraska at Omaha, USA
Uma Kumar, Sprott School of Business, USA
Moussa Larbani, Islamic International University, Malaysia
Cheng-Few Lee, Rutgers University, USA
Choongseok Lee, Korea Polytech University,Korea
Heeseok Lee, Korea Advanced Institute of Science and Technology, Korea
Hyoung-Yong Lee, School of Business, Hansung University, Korea Jongwon Lee, Hoseo University, Korea
Stanley Lee, Kansas State University, USA
Michael Harold Lees, Nanyang Technological University, Singapore
Alexander E. Lepskiy, HSE, Moscow, Russia
Aihua Li, Central University of Finance & Economics, China
Duan Li, Chinese University of Hong Kong, Hong Kong, China
Jianping Li, Chinese Academy of Sciences, China
Shanling Li, McGill University, Canada
Weigang Li, University of Brasilia, Brazil
Xingsen Li, Research Institute of Extenics and Innovation Methods, Guangdong University of Technology, China
Xiaodong Lin, Rutgers University, USA Hai Liu, School of Computer, South China Normal University, China
Jiming Liu, Hong Kong Baptist University, Hong Kong, China
Rong Liu, University of California at Los Angeles, USA
Xiaohui Liu, Brunel University, United Kingdom
Yanbin Liu, NIT, Zhejiang University, China
Ying Liu, Chinese Academy of Sciences, China
Zhidong Liu, China
Aleksey Lobanov, Bank of Russia, Russia
Wen Long, Chinese Academy of Sciences, China
Enrique López, University of Concepción, Concepción, Chile
David H. Lorenz, Northeastern University, USA Robert M. Losee, University of North Carolina at Chapel Hill, USA
Alexander V. Lotov, Russian Academy of Sciences, Russia
Ping Ma, University of Georgia, USA
Maria Augusta Soares Machado, Ibmec-RJ and Fuzzy Consultoria Ltda, Brazil
Ivan Coste Maniere, Skema Business School
Bo Mao, Nanjing University of Finance and Economics, China
Joao C.S. de Mello, UFF, Brazil
Andreas Merikas, National Research University Higher School of Economics, Russia
Jinyoung Min, Chosun University, Korea
Cid Miranda, SUCESU, Brazil
Rajnish Kumar Misra, JBS, India
Mamta Mohapatra, IMI, Delhi Vadim V. Mottl, Tula State University, Russia
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Valter Moreno, Ibmec & UERJ, Brazil Lingfeng Niu, Chinese Academy of Sciences, China
David L. Olson, University of Nebraska at Lincoln, USA
Neerja Pande, IIM, Lucknow, India
Chaoyi Pang, NIT, Zhejiang University, China
Panos M. Pardalos, University of Florida, USA
Geun-Duk Park, School of Computer and Information Engineering, Hoseo University，Korea
Ji Min Park, American Law Department at Hallym University of Graduate Studies,Korea
Tae-Young Park, School of Business at Hanyang University，Korea
Yi Peng, University of Electronic Science and Technology of China, China
Henry I. Penikas, HSE, Moscow, Russia
Ignacio Javier Pérez, University of Cadiz, Spain
David Poole, University of British Columbia, Canada
Luis Omar Herrera Prada, Universidad de la Salle, Colombia
Zhiquan Qi, Chinese Academy of Sciences, China Heitor Quintella, Stratimidia, Brazil
Cliff T. Ragsdale, Virginia Polytechnic Institute and State University, USA
Balasubramaniam Ramesh, Georgia State University, USA
Fuji Ren, The University of Tokushima, Japan
Francisco Ruiz, Universidad de Malaga, Spain
Thomas Saaty, University of Pittsburgh, USA
M.A. Sanjeev, Narsee Monji Institute of Management Studies, India
Isaac D. Scherson, University of California at Irvine, USA
Moonis Shakeel, JBS, India
Rahul Sharma, JBS, India
Prakash P. Shenoy, University of Kansas, USA Yong Shi, Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science, China
Fabio R. E. Silva, Ibmec, Brazil
Dominik Slezak, Warsaw University, Poland
P.M.A. Sloot, Universiteit van Amsterdam, The Netherlands
Roman Slowinski, Poznan University of Technology, Poland
Paulo de Souza, CSIRO, Australia
Neena Sondhi, IMI, Delhi
Bogdana Stanojevic, the Serbian Academy of Sciences and Arts, Serbia
Christian Stummer, Bielefeld University, Germany
Minghe Sun, University of Texas at San Antonio, USA
Ling Tang, School of Economics and Management, Beijing University of Chemical Technology, China
Tetsuzo Tanino, Osaka University, Japan Xin Tian, Chinese Academy of Sciences, China
Yingjie Tian, Chinese Academy of Sciences, China
James Tien, University of Miami, USA
Ana Titos, University of Granada, Spain
Zenonas Turskis, Vilnius Gediminas Technical University, Lithuania
Gwo-Hshiung Tzeng, National Chiao Tung University, Taiwan
Nitin Upadhayay, Goa Institute of Management, India
Luis G. Vargas, University of Pittsburgh, USA
Alexander Vasin, MSU/Moscow，Russia
Rayford Vaughn, Mississippi State University, USA
Enrique Herrera-Viedma, University of Granada, Spain
Ashok Wahi, JBS, India
Jyrki Wallenius, Aalto University School of Economics, Finland Hsiao-Fan Wang, National Tsing Hua University, Taiwan
James Wang, Pennsylvania State University, USA
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Shouyang Wang, Chinese Academy of Sciences, China Yonghui Wang, Director-General of China QClub, China
Xianhua Wei, Chinese Academy of Sciences, China
Peter Wolcott, University of Nebraska at Omaha, USA
Dengsheng Wu, Institute of Policy and Management, Chinese Academy of Sciences, China
Weixing Wu, School of Banking and Finance, University of International Business and Economics，China
Weixuan Xu, Chinese Academy of Sciences, China
Zeshui Xu, Sichuan University, Chengdu, China
Franco F. Yanine, Technical University Santa María, Valparaíso, Chile
Chunyan Yang, Guangdong University of Technology, China
Kyupil Yeon, Department of Applied Statistics, Hoseo University, Korea
Lean Yu, Beijing University of Chemical Technology, China
Ming Miin Yu, National Taiwan Ocean University, Taiwan Philip S. Yu, University of Illinois at Chicago, USA
Po-lung Yu, University of Kansas, USA
Xiaogang Wang, York University, Canada
Edmundas Kazimieras Zavadskas, Vilnius Gediminas Technical University, Lithuania
Milan Zeleny, Fordham University, USA
Chengqi Zhang, University of Technology Sydney, Australia
Haolan Zhang, NIT, Zhejiang University, China
Lingling Zhang, Chinese Academy of Sciences, China
Peng Zhang, University of Technology Sydney, Australia
Wei Zhang, Tianjin University, China
Yanchun Zhang, Victoria University, Australia
Yuejin Zhang, Central University of Finance and Economics, China Ning Zhong, Maebashi Institute of Technology, Japan
Xiaofei Zhou, Chinese Academy of Sciences, China
Zongfang Zhou, University of Electronic Science and Technology of China
Xingquan Zhu, Florida Atlantic University, USA
Yangyong Zhu, Fudan University, China
Kirill Zinkovskiy, National Research University Higher School of Economics, Russia
Special Sessions/Workshops and Organizers
General Session Fuad Aleskerov, National Research University Higher School of Economics, Russia ([email protected])
Guzel Almukhametova, National Research University Higher School of Economics, Russia ([email protected])
Special Session 01: Computer Supported Collaborative Decision-Making: Methods, Tools, Systems, and Applications
Prof. F. G. Filip (Romanian Academy, Bucharest, Romania [email protected]) Prof. I. Dzitac (Agora University, Oradea and University “Aurel Vlaicu” Arad, Romania [email protected])
Prof. Cristian Ciurea (Academy of Economic Studies-ASE, Bucharest Romania [email protected])
Special Session 02: Soft computing for decision making Prof. hab. Ioan Dzitac (Aurel Vlaicu University of Arad & Agora University of Oradea, Romania,
Acad. Florin Gheorghe Filip (Chair of the "Information Science and Technology" Section, of The Romanian Academy,
Romania [email protected])
Dr. Misu-Jan Manolescu (Professor at Agora University of Oradea, Romania [email protected])
Dr. Simona Dzitac (Assoc. Professor at University of Oradea, Romania [email protected])
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Special Session 03: High Performance Data Analysis Vassil Alexandrov (Professor in Computational Science and Chief Science Officer at Hartre Centre, UK,
Ying Liu (Professor, University of Chinese Academy of Sciences, China, [email protected])
Special Session 04: District financial risk management and artificial intelligence
Prof. Gang Kou (School of Business Administration, Southwestern University of Finance and Economics, Chengdu, China,
Prof. Fan Wang (Business School, Sun Yat-sen University, Guangzhou, China, [email protected])
Prof. Daji Ergu (College of Electrical & Information Engineering, Chengdu, Southwest Minzu University, China,
Special Session 05: Enabling Cyber-Physical Society through Cloud, Big Data, Analytics and Internet of Things Dr. Nitin Upadhyay (Goa Institute of Management, India, [email protected]; [email protected])
Special Session 06: 7th Intelligent Decision Making and Extenics based Innovation Xingsen Li (Guangdong University of Technology, China, [email protected])
Chunyan Yang (Guangdong University of Technology, China, [email protected])
Yanwei Zhao (Zhejiang University of Technology, China, [email protected])
Ping Yuan (NIT, Zhejiang University, China, [email protected])
Special Session 07: Advanced methods for research evaluation Manuel J. Cobo (Department of Computer Science and Engineering, University of Cadiz, Spain, [email protected]) Jose Antonio Moral Munoz (Department of Nursing and Physiotherapy. University of Cadiz, [email protected])
Special Session 08: Advances in Energy Sustainability through Distributed Generation and Energy Storage Innovations
for the Smart Grid Transformation-2019 Prof. Dr. Fernando Yanine (Senior Researcher & Professor, Faculty of Engineering of Universidad Finis Terrae Av. Pedro de
Valdivia 1509, Providencia Santiago, Chile. [email protected])
Special Session 09: Fuzziness in Smart Cities Edy Portmann (University of Fribourg, Switzerland,)
Miroslav Hudec (University of Economics in Bratislava, Slovak Republic,)
Special Session 10: Soft Computing on the Web Jesús Serrano-Guerrero ([email protected])
Antonio Gabriel López Herrera ([email protected])
Francisco P. Romero ([email protected])
José Angel Olivas ([email protected])
Special Session 11: A.I. applications in quantitative management and decision making systems Sungbum Park (Graduate School of MoT, Hoseo University, South Korea, [email protected])
Heewon Cheong (Graduate School of MoT, Hoseo University, South Korea, [email protected])
Jongwon Lee (Graduate School of MoT, Hoseo University, South Korea, [email protected])
Special Session 12: Data Acquisition Architecture and Management for Traceability Analytics (DAAMTA) – Smart City
focus this year. Dr. Jing He (Swinburne University of Technology, Australia, [email protected])
A/P. Zhiwang Zhang (School of Information and Electrical Engineering, Ludong University, [email protected])
Dr Bo Mao (Nanjing University of Finance and Economics, [email protected])
A/P. Hai Liu (School of Computer, South China Normal University [email protected])
Dr. Guangyan Huang (Deakin University [email protected])
Page 11 / 32
Workshop 01: The 7th Workshop on Optimization-based Data Mining Yingjie Tian, Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science, China. ([email protected])
Zhiquan Qi, Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science, China.
Yong Shi, College of Information Science and Technology, University of Nebraska at Omaha, USA. ([email protected])
Workshop 02: The 11th Workshop on Risk Correlation Analysis and Risk Measurement (RCARM2019) Jianping Li, Institutes of Science and Development, Chinese Academy of Sciences, China. ([email protected])
Xiaolei Sun, Institutes of Science and Development, Chinese Academy of Sciences, China. ([email protected])
Rongda Chen, Zhejiang University of Finance & Economics ,China. ([email protected])
Workshop 03: The 4th workshop on Outlier Detection in Financial Data Streams &Big Data and Management Science Aihua Li, Central University of Finance and Economics, China. ([email protected])
Zhidong Liu, Central University of Finance and Economics, China. ([email protected])
Fan Meng (Central University of Finance and Economics, China, [email protected])
Workshop 04: Workshop on Machine Learning and Intelligent Awareness Xiaofei Zhou, IIE, Chinese Academy of Sciences, China. ([email protected])
Jianlong Tan, IIE, Chinese Academy of Sciences, China. ([email protected])
Jia Wu, Macquarie University, Australia. ([email protected])
Workshop 05: The 4th Workshop on Scientific Data Analysis and Decision Making Associate prof. Dengsheng Wu, Institutes of Science and Development, Chinese Academy of Sciences, China. ([email protected])
Prof. Qingsheng Pei (Qinghai Institute of Animal Husbandry and Veterinary Science, [email protected])
Prof. Jianping Li (Institutes of Science and Development, Chinese Academy of Sciences, China, [email protected])
Workshop 06: Supply Chain Finance Xianhua Wei, (Professor of School of Economics and Management, University of Chinese Academy of Sciences (UCAS)
Jian Li (Professor of School of Economics and Management, Beijing University of Technology, China, )
Zhou He (Associate Professor of School of Economics and Management, University of Chinese Academy of Sciences (UCAS),
China, )
Workshop 07: Workshop on Business Analytics and their Value Creation in the Business Taeho Park (San Jose State University, USA, [email protected]) Youngsik Kang (Myongji University, Korea, [email protected])
Heeseok Lee (KAIST College of Business, Korea, [email protected])
Page 12 / 32
ITQM 2019 Program AT A GLANCE
Monday, 4 November Tuesday, 5 November
08:00-08:30 Opening Session (Aula Magna)
/Host: Enrique Herrera-Viedma
08:30-09:10
Keynote I (Aula Magna) /Speaker: Irene Ng)
Chair: Dan Berg
08:30-09:10
Keynote I (Aula Magna)
/Speaker: Shu-Cherng Fang)
Chair: Felisa Cordova
09:10-09:50
Keynote II (Aula Magna)
/Speaker: Heeseok Lee)
Chair: Jianping Li
09:10-09:50
Keynote II (Aula Magna)
/Speaker: Enrique Herrera-Viedma)
Chair: Yong Shi
09:50-10:10 Break
09:50-10:10 Break 10:10-12:10
Parallel Sessions (Aula Magna, Salon de Grados, Sala de Juntas,
Aula A3)
(General Session, Session 1,
Session 3+Session 5, Session 10)
10:10-12:10
Parallel Sessions (Aula Magna, Salon de Grados, Sala de
Juntas, Aula A3)
(General Session, Session 1,
Session 2, Session 6)
12:10-13:40 Lunch Time
12:10-13:40 Lunch Time 13:40-15:40
Parallel Sessions (Aula Magna, Salon de Grados, Sala de Juntas,
Aula A3)
(General Session, Workshop1,
Session7+Session8)
13:40-15:40
Parallel Sessions (Aula Magna, Salon de Grados, Sala de
Juntas, Aula A3)
(General Session, Session 1,
Session 2+Session 4, Session 6+Workshop4)
Wednesday, 6 November
15:40-18:00
Local Tour / Workshop 2, Workshop5,
Workshop 5+Workshop 7, Session11
(Aula Magna, Salon de Grados, Sala de
Juntas, Aula A3)
09:00-11:00
Parallel Sessions (Aula Magna, Salon de Grados, Sala de Juntas,
Aula A)
(Session 12, Workshop 3+Workshop 7,
Special Talk)
18:00-21:00 Banquet and IAITQM Awards
Page 13 / 32
TABLE OF CONTENTS
1. Conference Information ................................................................................................................... 13
2. Keynote Speech ..................................................................................................................................144
3. Detailed Schedule...............................................................................................................................166
4. Introduction of ITQM ......................................................................................................................233
5. About Granada City .................................................................................................................................. 29
6. About University of Granada .................................................................................................................... 30
7. Campus Map ........................................................................................................................................ 30-31
8. ITQM 2019 SPONSORSHIP ..................................................................................................................... 32
Conference Information
Hours of Registration
·Sunday, 3 November 12:00-18:00
·Monday, 4 November 9:00-18:00
·Tuesday, 5 November 9:00-18:00
Tour Information
Trip to the Granada city (15:40-18:00)
(Local Tour)
Social Programs
·Banquet and IAITQM Awards（Chair: James Tien）
Monday, 4 November, 18:00-21:00 (Hotel Barceló Carmen Granada Acera del Darro N°62)
Awards Daniel Berg Award Richard Price Award Walter Scott Award
Presented by Daniel Berg Floren G. Filip Fuad Aleskerov
Awards Siwei Cheng Award Conference Award Herbert Simon Award
Presented by Yong Shi Felisa Cordova Jianping Li
Instruction for Speaker
·Keynote speech: 40 minutes
·Oral presentation: 20 minutes
Page 14 / 32
Keynote Speech
Keynote I (Aula Magna)
Monday, 4 November
08:30-09:10
Optimization Models for Sparse Signal Recovery
Shu-Cherng Fang Walter Clark Chair and Distinguished University Alumni
Graduate Professor
Industrial & Systems Engineering Department and
Operations Research Program
Chair: Felisa Cordova Abstract Sparse signal recovery is an important topic of signal
processing with many potential applications. This talk presents
some state-of-the-art optimization models for sparse signal
recovery and studies a newly developed quadratically
constrained sub-one quasi-norm optimization model for better
recovery.
Speaker Biography BS (National Tsing Hua University) MA
(Johns Hopkins University) PhD (Northwestern University)
Shu-Cherng Fang holds the Walter Clark Chair Professorship in
Industrial & Systems Engineering and Alumni Distinguished
Graduate Professorship at North Carolina State University,
USA. He has been University Chair Professor of Tsinghua
University (Beijing) and Fudan University (Shanghai),
Honorary University Professor of Northeast University
(Shenyang) and Shanghai University (Shanghai), Graduate
University Advisory Professor of the Chinese Academy of Sciences (Beijing), Honorary University Chair Professor of
National Chiao Tung University (Taiwan) and Honorary IEEM
Chair Professor of National Tsinghua University (Taiwan).
Before joining NC State, Professor Fang was Supervisor at
AT&T Bell Labs and Department Manager at the Corporate
Headquarters of AT&T Technologies.
Professor Fang has published over two hundred refereed journal
articles. He authored the books of Linear Optimization and
Extensions: Theory and Algorithms (Prentice Hall 1993, with S.
C. Puthenpura), Entropy Optimization and Mathematical Programming (Kluwer Academic 1997, with J.R. Rajasekera
and H.-S. Tsao), and Linear Conic Optimization (Science
Publisher 2013, with Wenxun Xing). He is currently serving on
22 editorial boards of scientific journals in the general area of Operations Research, Industrial/Systems Engineering and
Management Science. He is also the Editor-in-Chief of Fuzzy
Optimization and Decision Making.
Professor Fang has won many awards and has been listed in
several major biographic references. His research interests
include Nonlinear Programming, Fuzzy Optimization and
Decision Making, Soft Computing, and Logistics and Supply
Chain Management.
Keynote II (Aula Magna)
Monday, 4 November
09:10-09:50
Bibliometric Tools for Discovering Information
in Science
Enrique Herrera-Viedma Professor in Computer Science and A.I in University of
Granada
Vice-President for Research and Knowlegde Transfer
Chair: Yong Shi
Abstract In bibliometrics, there are two main procedures to
explore a research field: performance analysis and science
mapping. Performance analysis aims at evaluating groups of
scientific actors (countries, universities, departments,
researchers) and the impact of their activity on the basis of
bibliographic data. Science mapping aims at displaying the
structural and dynamic aspects of scientific research, delimiting
a research field, and quantifying and visualizing the detected
subfields by means of co-word analysis or documents co-
citation analysis. In this talk we present two bibliometric tools
that we have developed in our research laboratory SECABA: H-
Classics to develop performance analysis by based on Highly Cited Papers and SciMAT to develop science mapping guided
by performance bibliometric indicators.
Speaker Biography Enrique Herrera-Viedma is Professor in
Computer Science and A.I in University of Granada and Vice-
President for Research and Knowledge Transfer. He is Vice-
President for Publications in the IEEE System Man and
Cybernetic Society. His current research interests include group
decision making, consensus models, linguistic modeling,
aggregation of information, information retrieval, bibliometrics,
digital libraries, web quality evaluation, recommender systems, block chain and social media. In these topics he has published
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more than 250 papers in JCR journals and coordinated more than 22 research projects. Dr. Herrera-Viedma is EiC of the
journal Frontiers in Artificial Intelligence and an Associate
Editor of more than 10 JCR journals such as the IEEE Trans. On
Syst. Man, and Cyb.: Systems, IEEE Trans. On Fuzzy Systems,
Knowledge Based Systems, Soft Computing, Fuzzy
Optimization and Decision Making, Applied Soft Computing,
Journal of Intelligent and Fuzzy Systems, and Information
Sciences. According to Web of Science his h-index is 64 with
more than 17000 citations received and according to Google
Scholar his h-index is 84 with more than 28000 citations. He has
been identified by Clarivate Analytics as a Highly Cited Author in both scientific categories “Computer Sciences” and
“Engineering” during the years 2014, 2015, 2016, 2017 and
2018.
Keynote III (Aula Magna) Tuesday, 5 November
08:30-09:10
Crafting Data Rights and Emerging a Market for
Personal Data at the Edge: The Hub-of-All-
Things (HAT)
Irene Ng Turing Fellow
Director, HATLAB@WMG, University of Warwick
Chief Executive Dataswift Ltd
Chair: Dan Berg Abstract In this lecture, I present the principles of the HAT data
ownership model that aims to fundamentally re-balance the
power and influence of data usage on the Internet through the
use of markets. I describe the set of legal data rights crafted for
individuals, and its technical implementation in the form of the
HAT Microserver. I then discuss the design of the HATDeX platform, it’s governance and its economic and technical
implementation to emerge a market for personal data at the
“Edge” ie. real time on demand data transaction with Internet
applications at the point of data usage. Finally, I present data
from the platform and report the progress of the mission to re-
decentralise the Internet.
Speaker Biography Director, HATLAB@WMG, University
of Warwick
Irene is a Professor of Marketing and Service Systems and the Director of the International Institute for Product and Service
Innovation at WMG, University of Warwick. She is also a
Senior Member at Wolfson College, Cambridge. Irene was an
entrepreneur and practitioner for 16 years before switching to
an academic career. During her time in industry she occupied a
number of senior positions in industry rising to become CEO of
SA Tours and Travel group of companies (Singapore, Malaysia,
China and UK) and founded Empress Cruise Lines, a company
with an annual turnover of USD250m which she sold in 1996.
An industrial economist through her doctoral training, Irene's
research lies in the trans-disciplinary understanding of value and the design of markets and economic/business models. She is the
recipient of several ESRC fellowship appointments, including
being one of the 6 UK Advanced Institute of Management (AIM)
research Services Fellows, the ESRC/NIHR Placement Fellow
and more recently, one of the five ESRC/InnovateUK
Innovation Caucus Thought leaders. Both an entrepreneur and
an academic, Irene is passionate about the link between practice
and research. She is an advisor to startups on new financial
models in digital businesses.
Keynote IV (Aula Magna) Tuesday, 5 November
09:10-09:50
Artificial Intelligence – Emerging Opportunities
for Business and Academia
Heeseok Lee, Ph.D. Chair Professor of Strategy and IT College of Business
Korea Advanced Institute of Science and Technology
Seoul KOREA
Chair: Jianping Li
Abstract Artificial Intelligence (AI) is not just technology, but
the potential of revolutionary and disruptive change.
Applications of AI are touching every walk of our lives even
though years of research have shown us that the original objective of human like AI is a tougher proposition. Real-life
cases of AI range from fraud monitoring, computer games, to
driverless cars. AI has ushered in humanity's new age as the
Industrial Revolution led to today's modern society. The
business potential from emerging AI is unlimited. Global
companies and high tech start-ups are revolutionizing the
current business models while IT researchers are sharpening
their studies coupled with this AI related phenomenon. Drawing
from on-going AI business applications and research, this talk
will offer managerial and theoretical implications for practice
and business.
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Speaker Biography Heeseok Lee is Chair Professor of Strategy and IT at KAIST (Korea Advanced Institute of Science and
Technology), Seoul, Korea. He is now directing Digital
Innovation Research Center. He was the formal Dean of the
Graduate School of Information and Media Management. He
has also served as the Chair of Executive Program for more than
ten years at KAIST. He is a frequently invited speaker for a talk
about strategic implication of IT for leading universities and
communities. He earned BA in Industrial Engineering from
Seoul National University, MS in Industrial Engineering from
KAIST, and Ph.D. in Management from the University of
Arizona. Before joining KAIST, he taught at the University of Nebraska. Dr Lee has published extensively in the areas of IT
and Knowledge Management in leading journals such as MISQ,
JMIS, I&M, EJOR and IJITDM. He has won numerous awards
for outstanding research, teaching and service. His recent
research on IT impact on team innovation at knowledge-
intensive firms was awarded the Best Research at HICSS. He
also won the National Honorary Award in his efforts for
enhancing e-government. He was a recipient of Herbert Simon
Award in 2015. He has contributed to IAITQM, especially as a
conference chair of ITQM Conference in Korea.
Detailed Schedule
GS: General Session (Room
Aula Magna)
Chair: Fuad Aleskerov
Mon., 4 Nov. 2019
10:10-12:10
Network analysis of scientific interactions on the
problems of the Arctic (ID 18) Fuad Aleskerov and Guzel Almukhametova
Using clustering methods to deal with high number of
alternatives on Group Decision Making (ID 4) Juan Antonio Morente-Molinera, Sergio Ríos-Aguilar, Rubén González-Crespo and Enrique Herrera-Viedma
Application of Data Distribution Technology in
Smart Cities (ID 8) He Peixin and He Jing
The Recommendation Model of MiaoPai Short Video
Based on Microblog (ID 12) Manqing Zhu, Yue He, Yong Huang and Dan Zhang
Threshold and Deadline Effect in Crowdfunding (ID
13) Yan Song, Xin Tian and Chunlin Luo
Developing a smart healthcare promotion framework
with an Aboriginal lens (ID 14) Bao Feng and Jing He
Understanding Granular Aspects of Ontology for
Blockchain Databases (ID 26) Zhengxin Chen
SS 01: Special Session 01(Room
Salon de Grados) Chair: F. G. Filip, I. Dzitac, Cristian Ciurea
Mon., 4 Nov. 2019
10:10-12:10
A multi-criteria weighting approach for Quality of
Life evaluation (ID 9) Constanta Zoie Radulescu, Marius Radulescu, Adriana Alexandru, Marilena Ianculescu and Victor Vevera
Application of an opinion consensus aggregation
model based on OWA operators to the
recommendation of tourist sites (ID 16) Itzcóatl Bueno, Ramón Alberto Carrasco, Raquel Ureña and Enrique Herrera-Viedma
Consensus versus Crowdsourcing in Collaborative
Decision-Making Applied in Cultural Institutions (ID
20) Cristian Ciurea and Jan Owsiński
Next generation IoT and its influence on decision-
making. An illustrative case study (ID 29) Gabriel Neagu, Marilena Ianculescu, Adriana Alexandru, Vladimir Florian and Constanţa Zoie Rădulescu
USING PROFILING TO ASSEMBLE AN AGILE
COLLABORATIVE SOFTWARE DEVELOPMENT
TEAM MADE UP OF FREELANCERS (ID 72) Ion Ivan, Mihai Despa and Eduard Budacu
A comparative analysis between two statistical
deviation–based consensus measures in Group
Decision Making problems (ID 74) Maria Jose del Moral, Francisco Chiclana, Juan Miguel Tapia, Cristobal Tapia Garcia and Enrique Herrera Viedma
SS 02: Special Session 02(Room
Sala de Juntas) Chair: hab. Ioan Dzitac, Florin Gheorghe
Filip, Misu-Jan Manolescu, Simona Dzitac
Mon., 4 Nov. 2019 10:10-12:10
Application of the Belief Function Theory to the
Development of Trading Strategies (ID 56) Alexander Lepskiy and Artem Suevalov
Group decision making and soft consensus:
Analyzing citation classics by means of H-Classics (ID
67)
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Francisco Javier Cabrerizo, María De Los Ángeles Martínez, Javier López-Gijón, Jesús Cascón-Katchadourian and Enrique Herrera-Viedma
Solution approach to a special class of full fuzzy
linear programming problems (ID 82) Bogdana Stanojevic, Simona Dzitac and Ioan Dzitac
Combined Model-Free Adaptive Control with Fuzzy
Component by Virtual Reference Feedback Tuning
for Tower Crane Systems (ID 101) Raul-Cristian Roman, Radu-Emil Precup, Claudia-Adina Bojan-Dragos and Alexandra-Iulia Szedlak-Stinean
A comparison between Fuzzy Linguistic RFM Model
and traditional RFM model applied to Campaign
Management. Case study of retail business (ID 132) Rocío González Martínez, Ramón Alberto Carrasco, Jesús García-
Madariaga, Carlos Porcel and Enrique Herrera-Viedma
Selecting between CNC turning centers using a
combined AHP and fuzzy approach (ID 143) Breaz Radu, Bologa Octavian, Racz Gabriel and Crenganiș Mihai
SS 06: Special Session 06(Room
Aula A3) Chair: Xingsen Li, Chunyan Yang, Yanwei
Zhao, Ping Yuan
Mon., 4 Nov. 2019
10:10-12:10
Extenics based Innovation of New Professional
Farmer Cultivation under the Strategy of Rural
Vitalization (ID 24) Ping Yuan, Xiaorui Zhao and Shouzhen Zeng
How to disseminate Core Socialist Values Online: A
New Method Based on Extenics (ID 42) Zhiwei Yu, Liming Chen and Xingsen Li
Extension data mining method for improving product
manufacturing quality (ID 43) Siyuan Chen, Xingsen Li, Renhu Liu and Shouzhen Zeng
Extension Analysis of Manufacturing Cost and
Construction of basic-elements Model (ID 44) Renhu Liu, Xingsen Li and Siyuan Chen
Research on Design Evaluation of Air-WMM By
Priority- degree Evaluating Method (ID 83) Jinzhen Dou, Zhi Tang, Haotian Li, Chang Xu and Xingsen Li
Extension Support Vector Machine for Extension
Classification(new) (ID 113)
Long Tang, Chunyan Yang and Xingsen Li
GS: General Session (Room
Aula Magna)
Chair: Fuad Aleskerov
Mon., 4 Nov. 2019
13:40-15:40
Re-examination of a Bioinformatics Database Course:
Engaging Blockchain Technology (ID 27) Zhengxin Chen
Optimal Shipping Path Algorithm Design for Coastal
Port (ID 28) Yunfang Ma, Dan Chang, Hong Wang and Mincong Tang
Real-time Human Corneal Images Processing
Analysis of Placido Disk Corneal Topography Using
Extenics (ID 34) Nan Gao, Yuxuan Du and Yanwei Zhao
Meta-analysis of Peer Effects on Smart Cities (ID 39) Fangyao Liu, Haotian Li, Chen Zhang, Yong Shi, Wei Deng and Yuejin Zhang
Non-negative Matrix Factorization Based Learning
from Label Proportions for Vehicle Loan Default
Detection (ID 49) Hai Li, Qiang Tong and Bo Wang
A Novel Texture Generation Super Resolution Model
(ID 53) Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi and Jiabin Liu
SS 01: Special Session 01(Room
Salon de Grados) Chair: F. G. Filip, I. Dzitac, Cristian Ciurea
Mon., 4 Nov. 2019
13:40-15:40
Collaborative development of a CPS-based
production system (ID 81) Constantin Zamfirescu and Mihai Neghina
Integrated Decision Making using the Blockchain (ID
95) Manuel Adelin Manolache and Nicolae Tapus
Knowledge Management of Intangible Actives in
Service Companies (ID 97) Felisa Cordova, Claudia Duran, Fredi Palominos, Mauricio Pincheira and Raquel Galindo
A collaborative approach to resilient and antifragile
business ecosystems (ID 104) Javaneh Ramezani and Luis M. Camarinha-Matos
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CloudifierNet - Deep Vision Models for Artificial
Image Processing (ID 110) Andrei Ionut Damian, Laurentiu Piciu, Alexandru Purdila and Nicolae Tapus
Using Serious Games and Simulations for Teaching
Co-Operative Decision-making (ID 122) Ioana Andreea Ștefan, Jannicke Baalsrud Hauge, Florian Hasse and Antoniu Ștefan
SS 02&04: Special Session
02&04(Room Sala de Juntas) Chair: hab. Ioan Dzitac, Florin Gheorghe
Filip, Misu-Jan Manolescu, Simona Dzitac Gang Kou, Fan Wang, Daji Ergu,
Mon., 4 Nov. 2019
13:40-15:40
Dynamic Analysis of a 7 DOF Robot Using Fuzzy
Logic for Inverse Kinematics Problem (ID 144) Crenganiș Mihai, Tera Melania, Biriș Cristina and Gîrjob Claudia
Classification and Feature Selection Method for
Medical Datasets by Brain Storm Optimization
Algorithm and Support Vector Machine (ID 153) Eva Tuba, Ivana Strumberger, Timea Bezdan, Nebojsa Bacanin and Milan Tuba
An analysis of links between the ownership structure
and financial stability: case of Russian companies (ID
17) Alexander Karminsky and Alexey Rybalka
A study on predicting loan default based on the
random forest algorithm (ID 61) Lin Zhu, Daji Ergu, Dafeng Qiu, Ying Cai and Kuiyi Liu
Document images classification based on deep
learning (ID 65) Biao Hu, Daji Ergu, Huan Yang, Ying Cai and Kuiyi Liu
A New Approach to Process the Unknown Words in
Financial Public Opinion (ID 66) Kuiyi Liu, Daji Ergu, Bo Gong, Ying Cai and Jiazhen Sheng
SS 06&WS 04: Special Session
03&Workshop 04(Room Aula A3) Chair: Xingsen Li, Chunyan Yang, Yanwei
Zhao, Ping Yuan, Xiaofei Zhou, Jianlong Tan, Jia Wu
Mon., 4 Nov. 2019
13:40-15:40
Classification conducting knowledge acquisition by
an evolutionary robust GRBF-NN model (new) (ID
114) Long Tang, Chunyan Yang and Xingsen Li
Extension Theory for the Reconstruction of
Traditional Villages: case example in Dawa Village
(ID 160) Tao Wang, Qingying He, Dongsheng Wang, Kemi Adeyeye and Peng Yu
Finding new ideas of traditional village
reconstruction and renewal design through extension
thinking method (ID 161) Tao Wang, Jiamin Ma, Dongsheng Wang, Kemi Adeyeye and Peng Yu
Optimal Coordination Path Selecting Method for
Conduction Transformation Based on Floyd
Algorithm (ID 177) Yanwei Zhao, Gengyu Wu, Fangzhi Gui, Chen Xu, Shedong Ren and Zhiwei Xie
Understanding Users’ Searching Behavior Switching
from PC to Mobile: From a Dual Perspective of
Enablers and Inhibitors (ID 25) Minghong Chen, Xianjun Qi, Xiaoli Lu and Jing Li
A Comparison of Credit Rating Classification Models
Based on Spark- Evidence from Lending-club (ID 91) Bai Ruyu, Hai Mo and Li Haifeng
WS 02: Workshop 02(Room
Salon de Grados) Chair: Jianping Li, Xiaolei Sun, Rongda Chen
Mon., 4 Nov. 2019
15:40-17:40
Measuring corruption using the Internet data:
Example from countries along the Belt and Road (ID
15) Lili Pan, Qianqian Feng, Jianping Li, Lin Wang and Xiaoqian Zhu
Market Risks Prevention and Control of "Going
Global" for Chinese Electrical Enterprises (ID 30) Mingyue Jiang, Guowei Gao, Yirui Deng and Chenglong Wang
Ensemble forecasting for electricity consumption
based on nonlinear optimization (ID 64) Jun Hao, Qianqian Feng, Guowei Gao, Xiaolei Sun and Weilan Suo
Risk factors identification and evolution analysis
from textual risk disclosures for insurance industry
(ID 79) Yinghui Wang, Bin Li, Guowen Li, Xiaoqian Zhu and Jianping Li
Carbon futures price forecasting based with ARIMA-
CNN-LSTM model (ID 80) Lei Ji, Yingchao Zou, Kaijian He and Bangzhu Zhu
Page 19 / 32
Can stock markets lead the macroeconomic
variables? Dynamic analysis based on TOP method
(ID 86) Zhenni Jin, Yijing Wang and Kun Guo
The dynamical relationship between capital market
and macro-economy: based on dynamic Bayesian
network (ID 94) Yue Liu and Kun Guo
WS 05: Workshop 05 (Room
Aula Magna) Chair: Dengsheng Wu, Qingsheng Pei,
Jianping Li
Mon., 4 Nov. 2019
15:40-17:40
Temporal and Spatial Change Monitoring of
Vegetation Coverage in Haiyan County Based on GF-
1 (ID 124) Xu Zhang, Qingsheng Pei, Yan Chen, Ying Guo, Yanan Hou and Rui Sun
Temporal and Spatial Changes Monitoring of
Vegetation Coverage in Qilian County Based on GF-1
Image (ID 125) Xu Zhang, Qingsheng Pei, Yan Chen, Ying Guo, Yanan Hou and Rui Sun
Research and Implementation of a Method for Web
Log Analysis Template Extraction (ID 129) Zengchao Ni, Hongqi Liu and Yuanping Chen
Classifying the geology journals by editorial board
interlocks (ID 130) Xiaoli Lu, Cuifeng Ma and Shiyi Wang
Nomadic path optimizing model under multi-factor
constraints (ID 164) Xiaoyan Gu, Zirui Jia, Dengsheng Wu, Qingsheng Pei and Jianping Li
Research on Dynamic Rotational Grazing
Assignment Model based on Grass Resource Leveling
(ID 168) Xiaoyan Gu, Zirui Jia, Yingying Yang, Dengsheng Wu and Jianping Li
Multi-agent nomadic routes network planning
considering grassland-livestock balance (ID 169) Xiaoyan Gu, Qian Liu, Zhigang Wang, Jianping Li and Dengsheng Wu
WS 05&07: Workshop
05&07(Room Aula A3)
Mon., 4 Nov. 2019
15:40-17:40
Chair: Dengsheng Wu, Qingsheng Pei, Jianping Li, Taeho Park, Youngsik Kang, Heeseok Lee
Area Definition and Public Opinion Research of
Natural Disaster Based on Micro-blog Data (ID 6) Yue He, Lijun Wen and Tingting Zhu
Decision Model for "Going Global" of China's
Electric Power Technology and Equipment (ID 32) Chenglong Wang, Li Ma and Xiaofeng Xu
Forecasting the number of inbound tourists with
Google Trends (ID 77) Yuyao Feng, Guowen Li, Xiaolei Sun and Jianping Li
Incentive Strategies of Different Channels in an
Electric Vehicle Battery Closed-Loop Supply Chain
(ID 100) Hongfang Song and Hongrui Chu
Study on Temporal and Spatial Change of Vegetation
Coverage in Haiyan County Based on GF-1 (ID 123) Xu Zhang, Qingsheng Pei, Yan Chen, Ying Guo, Yanan Hou and Rui Sun
Applications of Blockchain to Improve Supply Chain
Traceability (ID 162) Ju Myung Song, Jongwook Sung and Taeho Park
SS 11: Special Session 11 (Room
Sala de Juntas) Chair: Sungbum Park, Heewon Cheong,
Jongwon Lee
Mon., 4 Nov. 2019
15:40-17:40
High-Speed Collector for Big Data Gathering
in Smart Factory (ID 22) Sun-Pyo Lee, Kong-Seob Ryu, Sung-Bum Park, Hwally Lee, Seohyun Kim, and Hee-Woon Cheong
Applying Clustering and Co-occurrence Methods to
Identifying Key Events and Their Relations in
Chinese Stock Market (ID 134) Jiachen Wu, Yaling Wang and Yue Wang
GS: General Session (Room
Aula Magna) Chair: Fuad Aleskerov
Tues., 5 Nov. 2019
10:10-12:10
Identity authentication on mobile devices using face
verification and ID image recognition (ID 69) Xing Wu, Xu Jianxing, Wang Jianjia, Li Yufeng, Li Weimin and Guo Yike
Page 20 / 32
On the bounds of weak manipulability of
majoritarian aggregation procedures (ID 70) Fuad Aleskerov, Daniel Karabekyan, Alexander Ivanov and Vyacheslav Yakuba
User Acceptance Model of Government
Microblogging and Its Empirical Study (ID 71) Xianjun Qi, Minghong Chen and Xiaoli Lu
Review of Bankruptcy Prediction using Machine
Learning or Deep Learning Techniques (ID 75) Yi Qu, Yong Shi and Lingfeng Niu
An efficient heuristic approach for solving the two-
stage supply chain problem with fixed costs
associated to the routes (ID 76) Ovidiu Cosma, Petrica Pop and Cosmin Sabo
Extenics: A new approach for the Design,
Reconstruction and Renewal of Traditional Villages
(ID 85) Wang Tao, Ma Jiamin , Wang Dongsheng, Kemi Adeyeye, Yu Peng
SS 01: Special Session 01(Room
Salon de Grados) Chair: F. G. Filip, I. Dzitac, Cristian Ciurea
Tues., 5 Nov. 2019
10:10-12:10
Improve efficiency in multidimensional database
queries through the use of additives aggregation
functions (ID 126) Fredi E. Palominos, Claudia A. Durán and Felisa M. Córdova
ArdoCare – A collaborative medical decision support
system (ID 131) Ciprin Cândea, Gabriela Cândea, and Zamfirescu Bălă Constantin
On the Algorithms of Identifying the Opinion
Leaders in Social Networks (ID 147) Sofya A. Semenkovich and Olga A. Tsukanova
Collaborative Value Modelling in corporate contexts
with MACBETH (ID 152) Carlos A. Bana e Costa, Ana C.L. Vieira, Mónica Nóbrega, António Quintino, Mónica D. Oliveira and João Bana e Costa
Spatial and territorial development planning: digital
challenge and reinvention using a multi-disciplinary
approach to support collaborative work (ID 157) Maria Visan
Leveraging Users' Trust and Reputation in Social
Networks (ID 170) Raquel Ureña, Francisco Chiclana, Ramon A. Carrasco and Enrique
Herrera-Viedma
SS 03&05: Special Session 03&
05(Room Sala de Juntas) Chair: Vassil Alexandrov, Ying Liu, Nitin
Upadhyay
Tues., 5 Nov. 2019
10:10-12:10
Categorize the Power Grid Projects with SOM
Method (ID 23) Haifeng Li, Yuejin Zhang and Mo Hai
A Classification Prediction Analysis of Flight
Cancellation Based on Spark (ID 92) Yu Yanying, Hai Mo and Li Haifeng
Fragment-aided recognition of images under poor
lighting and additive impulse noises (ID 106) Viacheslav Kalashnikov, Viktor V. Avramenko, Nataliya Kalashnykova and Vladimir N. Demyanenko
A conceptual model for a cyber-social-technological-
cognitive smart medium-size port (ID 112) Claudia Durán, Felisa Córdova and Fredi Palominos
Blockchain Enabled Cyber-Physical Society
Framework (ID 135) Nitin Upadhyay
Investigating Prime Minister Narendra Modi’s Usage
of Pathos in the Cyber-Physical Society – A Case of
Public Relations Campaign (ID 137) Shalini Upadhyay and Nitin Upadhyay
SS 10: Special Session 10(Room
Aula A3) Chair: Jesús Serrano-Guerrero, Antonio
Gabriel López Herrera, Francisco P. Romero, José Angel Olivas
Tues., 5 Nov. 2019
10:10-12:10
A method for the semantic analysis of documents in a
business context in Spanish (ID 33) Ruben Rodriguez-Cardos, Francisco P. Romero, Jose A. Olivas and Jesus Serrano-Guerrero
A proposal for a recommender system for scientific
relevance (ID 73) Jared D.T. Guerrero-Sosa, Francisco Pascual Romero, Jesús Serrano-Guerrero, Victor Menendez-Dominguez and María Enriqueta Castellanos-Bolaños
Latent Dirichlet Allocation (LDA) for improving the
topic modeling of the oficial bulletin of the spanish
state (BOE) (ID 142) J.C. Bailón-Elvira, M.J. Cobo, E. Herrera-Viedma and A.G. López-
Page 21 / 32
Herrera
A semantic polarity detection approach: A case study
applied to a Spanish corpus (ID 148) Alejandro Ramón Hernández, María Matilde García Lorenzo, Alfredo Simón-Cuevas, Leticia Arco and Jesus Serrano-Guerrero
A cloud-based tool for sentiment analysis in reviews
about restaurants on TripAdvisor (ID 151) M.M. Aguero-Torales, M.J. Cobo, E. Herrera-Viedma and A.G. López-Herrera
A risk-aware fuzzy linguistic knowledge-based
recommender system for hedge funds (ID 166) Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel and Enrique Herrera-Viedma
GS: General Session (Room
Aula Magna) Chair: Fuad Aleskerov Tues., 5 Nov. 2019
13:40-15:40
Examination of the energy trading status of China
and India and the prospect for cooperation (ID 103) Shuying He and Kun Guo
Web platform for learning distributed databases'
queries processing (ID 105) Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Alvaro Tejeda-Lorente and Enrique Herrera-Viedma
Analyzing Health Seeking Behavior of Chinese
Residents and Their Influencing Factors: Based on
CHNS Data (ID 133) Jiayu Xue, Xinyue Ren, Yuanjie Xu and Qianqian Feng
Research on Influencing Factors of P2P Network
Loan Prepayment Risk Based on Cox Proportional
Hazards Model (ID 138) Jie Wan, Heng Zhang, Gang Li, Xiaoqian Zhu and Xiaolei Sun
An automatic skills standardization method based on
subject expert knowledge extraction and semantic
matching (ID 158) Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Julio Herce-Zelaya and Enrique Herrera-Viedma
A fuzzy linguistic supported framework to increase
Artificial Intelligence intelligibility for subject matter
experts (ID 167) Juan Bernabé-Moreno and Karsten Wildberger
WS 01: Special Session
11&Workshop 01 (Room Salon de
Grados) Chair: Yingjie Tian, Zhiquan Qi, Yong Shi
Tues., 5 Nov. 2019 13:40-15:40
Multi-view SVM Classification with Feature Selection
(ID 47) Yuting Niu, Yuan Shang and Yingjie Tian
A Study on Mobile Customer Churn Based on
Learning from Soft Label Proportions (ID 52) Kaili Lu, Xingqiu Zhao and Bo Wang
Multi-Class Learning from Label Proportions for
Bank Customer Classification (ID 54) Yaxing Qian, Qiang Tong and Bo Wang
Urban tourism competitiveness evaluation system:
Comparison and analysis of regression and
classification methods (ID 59) Shuze Guo, Yao Jiang and Wen Long
A General Feature Abstraction Method for
Clustering Algorithm (ID 127) Haifeng Li, Ning Zhang, Mo Hai and Yuejin Zhang
SS 07&08: Special Session
07&08(Room Sala de Juntas) Chair: Manuel J. Cobo, Jose Antonio Moral
Munoz, Fernando Yanine
Tues., 5 Nov. 2019
13:40-15:40
Looking Over the Research Literature on Software
Engineering from 2016 to 2018 (ID 96) Ruben Heradio, David Fernandez-Amoros, Daniel Galan, Francisco Javier Cabrerizo and Enrique Herrera-Viedma
The last five years of Big Data Research in
Economics, Econometrics and Finance: Identification
and conceptual analysis (ID 111) José Ricardo López-Robles, Marisela Rodríguez-Salvador, Nadia Karina Gamboa-Rosales, Selene Ramirez-Rosales and Manuel Jesús Cobo
A bibliometric study of the research area of
videogames using Dimensions.ai database (ID 118) Pablo García Sánchez, Antonio M. Mora, Pedro A. Castillo and Ignacio J. Perez
Discovering Rehabilitation trends in Spain: A
bibliometric analysis (ID 146) Jose A. Moral-Munoz, Ana I. Pacheco-Serrano, David Lucena-Anton and Manuel J. Cobo
Grid-tied distributed generation with energy storage
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to advance renewables in the residential sector: tariff
analysis with energy sharing innovations; Part I. (ID
150) Fernando Yanine, Antonio Sanchez-Squella, Antonio Parejos, Aldo Barrueto and Hans Rother
SS 12: Special Session 12(Room
Aula Magna) Chair: Jing He, Zhiwang Zhang, Bo Mao,
Hai Liu, Guangyan Huang
Wed., 6 Nov. 2019
09:00-11:00
Recommendation of Clinical Diagnostic Literature
based on Random Forest Model and Query
Expansion (ID 1) Beiliang Cui, Hao Ding, Shuqing Li and Guangguang Zhuang
The recommendation service of the shareholding for
fund companies based on improved collaborative
filtering method (ID 7) Beiliang Cui, Hao Feng, Shuqing Li and Liu Lu
Blockchain based Data Distribution and Traceability
Framework in the Electric Information Management
System (ID 98) Mengchen Cai, Ming Li and Wanwan Cao
Integrated Application of Blockchain in the Electric
Information Management System (ID 99) Chang Xu, Yuan Fang and Yong Ma
Enhanced Classification Models for Astrophysical
Data (ID 171) Yuanyuan Wu, Jing He, Yimu Ji, Guangli Huang, Haichang Yao, Peng Zhang, Wen Xu, Mengjiao Guo and Youtao Li
Unified Searching Service for Electric Big Data (ID
172) Lifang Gao, Qimeng Li, Yangyang Lian, Pengpeng Lv and Wenfang Zhou
A bi-level programming model for oilfield
development and its solution algorithm based on
interactive intuitionistic fuzzy method (ID 173) Chao Min, Yanjie Hu, Chunhua Hou, Jing He and Zhibin Liu
WS 03&07: Workshop
03&07(Room Sala de Juntas) Chair: Aihua Li, Zhidong Liu, Fan Meng,
Taeho Park, Youngsik Kang, Heeseok
Lee
Wed., 6 Nov. 2019
09:00-11:00
Find the Power Grid Projects with Optimized
Clutering Method (ID 3) Haifeng Li, Yuejin Zhang and Mo Hai
Political Attitudes of the Chinese Young People ：An
Empirical Study Based on Anti-Corruption Issue (ID
120) Meihong Zhu and Aihua Li
Factor analysis and prediction of crowdfunding
project funding ratio: an empirical study based on
Zhongchou Wang in China (ID 121) Yifei Guo, Meihong Zhu and Aihua Li
Research on Smart City Evaluation Based on
Hierarchy of Needs (ID 145) Yuejin Zhang, Fangyao Liu, Zhiqiang Gu, Zhengxin Chen, Yong Shi and Aihua Li
Stock Classification Prediction Based on Spark (ID
58) Jiang Xianya, Hai Mo and Li Haifeng
Difference in Differences in Marketing Performance
Measurement (ID 102) Wei Deng, Fangyao Liu, Nan Xu, Yong Shi and Haotian Li
Sepecial Talk (Room Aula A3) Chair: Qiuli Zhang and Liya Yun
Wed., 6 Nov. 2019
09:00-11:00
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The inauguration meeting of IAITQM successfully took place in Omaha of United States on Sunday, June 3, 2012. More than
50 participants, coming from China, United States, Australia, South Korea, Japan, The Netherlands, Poland, Romania,
Singapore, Spain, Lithuania, Turkey and other countries, attended the meeting.
IAITQM is glad to have Prof. Siwei Cheng (deceased), Mr. Walter Scott (Chairman of Level 3 Communications Inc., board
member of Berkshire Hathaway Inc) and Prof. James Tien (University of Miami) to serve as the Honorary Chairmen. IAITQM
attendees discussed and passed the IAITQM bylaws, and held the first election. Attendees elected Prof. Yong Shi as the
President, Prof. Peter Wolcott as the Vice President for Conferences, Prof. WikilKwak as the Vice President for Finance, and
Prof. Jianping Li as the Secretary. According to the bylaws, the attendees also elected five committees and their chairpersons, namely, the advisory committee, the awards committee, the executive committee, the conferences committee, and the
publications committee.
IAITQM’s Vision:
The International Academy of Information Technology and Quantitative Management (The Academy) is a global community
for educators, scholars, policy makers and professionals to promote innovation and excellence of information technology and
quantitative management.
IAITQM’s Mission:
The Academy
(1). Develops and maintains a professional identity for all educators, scholars, policy makers and professionals in the fields of
information technology and quantitative management around the world; (2). Promotes the use of information technology in business and other areas to gain competitive capability;
(3). Promotes the development of quantitative models in support of identifying solutions that can improve business
management and operations;
(4). Provides multiple interchange or communication venues, including conferences, journals, books, newsletters, etc. to
enhance the exchanges of ideas, research findings and business practices related to information technology and quantitative
management;
(5). Acts as a leading association of information technology and quantitative management to improve business efficiency and
effectiveness and eventually the quality of life for all humans.
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The IAITQM inauguration meeting, June 3, 2012,Omaha, NE, USA
The First International Conference on Information technology and Quantitative Management,May 2013,Suzhou, China
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The Second International Conference on Information technology and Quantitative Management,June 2014, Moscow, Russia
The Third International Conference on Information technology and Quantitative Management,July 2015, Rio, Brazil
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The Fourth International Conference on Information technology and Quantitative Management, August 2016, Asan, Korea
The Fifth International Conference on Information technology and Quantitative Management, December 2017, New Delhi, India
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The Sixth International Conference on Information technology and Quantitative Management, October 2018, Omaha, USA
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Conference Map
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Granada A University City Granada is, first and foremost, a university city. It has a population of 240,000 people, 75,000 of which are students, lecturers,
researchers and administrative and service staff directly linked to the UGR, meaning that a staggering 1 in every 3 inhabitants of Granada is directly linked to the University. As a result, a lively student atmosphere has flourished in the city, giving rise to the development of a
modern, multicultural and vibrant study destination that welcomes people from all backgrounds.
The UGR’s 5 campuses in Granada and its other educational centres are spread out across the city, giving it an unmistakable
university feel. The remaining two campuses are found in the North African cities of Ceuta and Melilla, making it a truly intercontinental
institution.
As the University is at the heart of the city, Granada provides incoming students with excellent sports facilities, along with a wide
range of cultural activities. It is also one of the least expensive cities in Spain, while it is commonly regarded as offering one of the
highest levels of quality of life.
Both of words and photo are taken from:
https://www.ugr.es
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About University of Granada：
The University of Granada (Spanish: Universidad de Granada, UGR) is a public university located in the city of Granada, Spain, and
founded in 1531 by Emperor Charles V. With approximately 80,000 students, it is the fourth largest university in Spain. Apart from the
city of Granada, UGR also has campuses in Northern Africa (Ceuta and Melilla).
The University of Granada dates back as far as the Middle Ages with the founding of the Madrasa Yusufiyya in 1349 by Yusuf I, the
Sultan of Granada. Accordingly, it is considered one of the most important universities in the world in terms of its historical value.
National and international ranking agencies collectively indicate that the UGR continues to make strides as a higher education institution, including it among the top 3% of universities worldwide. The 2018 edition of the Academic Ranking of World Universities
(ARWU) places the University of Granada in 278th position in the world and as the third-highest ranked university in Spain, reaffirming
its position as an institution at the forefront of national and international research.
In the academic year 2012/2013 almost 2,000 European students were enrolled in UGR through the Erasmus Programme, making it the most popular European destination. The university's Center for Modern Languages (CLM) receives over 10,000 international students
each year. In 2014, UGR was voted the best Spanish university by international students.
Campus Map
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Campus Map
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ITQM 2019 IS SPONSORED BY:
