Title :
A new method for fuzzy group decision-making based on similarity measures between interval linguistic terms
Author :
Chen, Shyi-Ming ; Lee, Li-wei
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
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.
Keywords :
decision making; formal languages; fuzzy set theory; natural languages; decision maker preference; fuzzy group decision making; interval linguistic terms; similarity measure; Artificial intelligence; Decision making; Fuzzy group decision-making; interval linguistic terms; likelihood-based comparison relations; similarity measures;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5642201
