8/13/2019 Zarate, 2009_ Formal methodologies and tools for
decision support systems An editorial
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Editorial
Formal methodologies and tools for decision supportsystems An
editorial
This feature cluster is a selection of the best papers thatmark
state-of-the-art and perspectives describing FormalMethodologies
and Tools for Decision Support Systems.These papers have been
presented during the IFIP8/TC8.3 International Conference on
Creativity and Innova-
tion in Decision Making and Decision Support CID-MDS2006 that
was held at the London School ofEconomics (LSE), London, from June
28th 2006 to July1st 2006. During this conference researchers
pushed backthe boundaries of the DSS area in its widest sense and
fo-cused on the need to find new paths towards innovativeand
creative developments and usage of Decision Supportconcepts in
organisations. These efforts built on accumu-lated knowledge in the
field, but also concentrated onbringing forth novel ideas and
frameworks for DecisionSupport Systems. For this feature issue, a
specific interestis given to the topic of new OR methodologies or
tools used
for designing Decision Support Systems (DSSs).Seventeen
interesting papers have been submitted to this
feature cluster; from among them, only four papers have
beenselected as perfectly concordant with the privileged topic.
This issue is composed of two parts: the first one is de-voted
to developed methodologies for DSSs and the secondone focuses on
the tools used for designing DSSs.
In the first part, two methodologies for the develop-ment of
DSSs are proposed. The first contribution,authored by G.
Phillips-Wren, M. Mora, G.A. Forgionneand J.N.D. Gupta, presents An
Integrative EvaluationFramework for Intelligent Decision Support
Systems.
The second contribution, authored by C. Loebbecke andC.
Huyskens, proposes a System Using a Five-StageMethodology.
The second part presents two contributions using Artifi-cial
Intelligence and Web based tools for designing efficientDSSs. The
third paper, authored by Z.Y. Zhuang, L. Chu-rilov, F. Burstein and
K. Sikaris, proposes to combineData Mining and Case-based Reasoning
for IntelligentDecision Support for Pathology Ordering by General
Prac-titioners. The last contribution, authored by P.P. Repous-sis,
D.C. Paraskevopoulos, G. Zobolas, C.D. Tarantilisand G. Ioannou,
presents A Web-based DSS for Waste
Lube Oils Collection and Recycling
.
Pascale ZarateIRIT-INPT, Toulouse, France
E-mail address: [email protected]
Available online 20 February 2008
0377-2217/$ - see front matter 2007 Elsevier B.V. All rights
reserved.
doi:10.1016/j.ejor.2007.11.013
www.elsevier.com/locate/ejor
Available online at www.sciencedirect.com
European Journal of Operational Research 195 (2009) 641
mailto:[email protected]:[email protected]
