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A new method for fuzzy group decision-making based on similarity measures between interval linguistic terms

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2 Author(s)
Shyi-Ming Chen ; Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan ; Li-Wei Lee

This paper presents a new method for fuzzy group decision-making based on similarity measures between interval linguistic terms, where interval linguistic terms are used to represent the decision-makers' preference. The existing method for fuzzy group decision-making has the following drawbacks: 1) it can not deal with fuzzy group decision-making problems in which interval linguistic terms are used to represent the decision makers' preference; 2) it has the never-ending consensus process problem when the threshold value r = 1. The proposed method can overcome the drawbacks of the existing method.

Published in:

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Date of Conference:

10-13 Oct. 2010