Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Fuzzy Sets and Systems
Aggregation operators and fuzzy systems modeling
Fuzzy Sets and Systems
Computers and Operations Research
Aggregation of fuzzy opinions under group decision making
Fuzzy Sets and Systems
A dynamical model for reaching consensus in group decision making
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Optimal consensus of fuzzy opinions under group decision making environment
Fuzzy Sets and Systems
Aggregation operators for selection problems
Fuzzy Sets and Systems - Special issue: Soft decision analysis
Consensus-based intelligent group decision-making model for the selection of advanced technology
Decision Support Systems
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Multi criteria decision making (MCDM) and group decision making (GDM) are two well practiced approaches to solve decision making problems. Group decision making combines opinions from Decision makers (DMs) into a coherent group decision. The aim of this paper is to develop a new fuzzy group decision making algorithm and apply it to a real-world groundwater development problem to select the most preferred alternative. Five decision makers (DMs) are selected to express their judgments about relative importance of 3 criteria (water pumped, cost, and risk) and have given their preferences as ordinal preferences, utility values, fuzzy preference relations and multiplicative preference relations. Decision makers' opinions are aggregated based on a fuzzy group decision making. Ordered weighted averaging (OWA) operator has been used to aggregate decision makers' opinions. Consensus measure is also defined to evaluate convergence between group and individual opinions. The outcomes of the proposed algorithm show that proposed fuzzy group decision making process is a relevant approach to aggregate the individual expert's opinion and is a desirable tool to reach consensus among DMs.