On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Information Sciences—Informatics and Computer Science: An International Journal
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Linguistic labels for expressing fuzzy preference relations infuzzy group decision making
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In group decision making with linguistic information, the decision makers (DMs) usually provide their assessment information by means of linguistic variables. In some situations, however, the DMs may provide fuzzy linguistic information because of time pressure, lack of knowledge, and their limited attention and information processing capabilities. In this paper, we introduce the concepts of triangular fuzzy linguistic variable and its member function, and introduce some operational laws of triangular fuzzy linguistic variables. We propose a formula for comparing triangular fuzzy linguistic variables, and develop some operators for aggregating triangular fuzzy linguistic variables, such as the fuzzy linguistic averaging (FLA) operator, fuzzy linguistic weighted averaging (FLWA) operator, fuzzy linguistic ordered weighted averaging (FLOWA) operator, and induced FLOWA (IFLOWA) operator, etc. Based on the FLWA and IFLOWA operators, we develop a practical method for group decision making with triangular fuzzy linguistic variables, and finally, an illustrative example is given to verify the feasibility and effectiveness of the developed method.