Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
A Procedure for Decision Making Based on Incomplete Fuzzy Preference Relation
Fuzzy Optimization and Decision Making
Incomplete linguistic preference relations and their fusion
Information Fusion
Least-square method to priority of the fuzzy preference relations with incomplete information
International Journal of Approximate Reasoning
A method for group decision making with multi-granularity linguistic assessment information
Information Sciences: an International Journal
A consistency-based procedure to estimate missing pairwise preference values
International Journal of Intelligent Systems
Group decision making with incomplete fuzzy linguistic preference relations
International Journal of Intelligent Systems
Linguistic multiperson decision making based on the use of multiple preference relations
Fuzzy Sets and Systems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Fuzzy Set Theory and Applications; Guest Editors: Ferdinand Chovanec, Olga Nánásiová, Alexander Šostak
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
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In this paper, a new approach is proposed to solve group decision making (GDM) problems where the preference information on alternatives provided by decision makers (DMs) is represented in four formats of incomplete preference relations, i.e., incomplete multiplicative preference relations, incomplete fuzzy preference relations, incomplete additive linguistic preference relations, incomplete multiplicative linguistic preference relations. In order to make the collective opinion close each decision maker's opinion as near as possible, an optimization model is constructed to integrate the four different formats of incomplete preference relations and to compute the collective ranking values of the alternatives. The ranking of alternatives or selection of the most desirable alternative(s) is directly obtained from the derived collective ranking values. A numerical example is also used to illustrate the applicability of the proposed approach.