Improving group decision making : A fuzzy GSS approach

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

33 Scopus Citations
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Original languageEnglish
Pages (from-to)54-63
Journal / PublicationIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Issue number1
Publication statusPublished - Feb 2002


Group decision-making methods have been developed extensively, but their adaptation for use in organizations has been problematic. According to Arrow's Impossibility theorem, one conceivable reason is that a group decision outcome could never satisfy all decision makers' individual preferences. In order to accommodate individual decision maker's preferences in a group decision-making task, this correspondence presents a fuzzy multiperson multicriteria decision making (MMCDM) model and a structured group decision-making process. The fuzzy MMCDM model includes fuzzy individual preference generation and group preference aggregation. The structured decision-making process keeps the group interaction on track, so that the fuzzy MMCDM model can be effectively applied to the group decision-making task. Based on the proposed model and the decision-making process, a fuzzy group support system (GSS) has been developed and applied to a group assessment task. An empirical study was conducted and the experiment results showed that use of the fuzzy GSS enhanced individual understanding, consensus, and satisfaction of the group decision outcome.

Research Area(s)

  • Fuzzy sets, Group support system (GSS), Multicriteria decision making (MCDM)