A group decision support approach to evaluating journals
Information and Management
Successive Proportional Additive Numeration Using Fuzzy Linguistic Labels (Fuzzy Linguistic SPAN)
Fuzzy Optimization and Decision Making
Advanced Engineering Informatics
Trigger to Switch Individual's Interest Toward Unconscious Preference
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Minimum cost consensus with quadratic cost functions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Multi-criteria group decision making with fuzzy logic and entropy based weighting
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Computer Networks: The International Journal of Computer and Telecommunications Networking
How are distributed groups affected by an imposed structuring of their decision-making process?
Proceedings of the 3rd International Conference on Human Computer Interaction
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Group decision-making methods have been developed extensively, but their adaptation for use in organizations has been problematic. According to Arrow's (1963) 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