Interactive group decision process with evolutionary database

This paper presents interactive procedures for solving a multiple criteria group decision making (MCGDM) problem with incomplete information when multiple decision makers are involved. It is difficult for group members participating in the decision making process to articulate their preferences with cardinal values. Therefore, we represent their preferences with utility ranges obtained by solving linear programming (LP) problems with incompletely specified information, find conflicting judgments, if any in their specified information, and suggest interaction processes to help the group reach a consensus. This paper will provide an algorithmic basis for a normative and interactive knowledge based group decision support system. (C) 1998 Elsevier Science B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
1998-10
Language
ENG
Keywords

LINEAR PARTIAL INFORMATION; SUPPORT SYSTEM; PREFERENCE; DOMINANCE

Citation

DECISION SUPPORT SYSTEMS, v.23, no.4, pp.333 - 345

ISSN
0167-9236
URI
http://hdl.handle.net/10203/4657
Appears in Collection
NE-Journal Papers(저널논문)
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