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A New Solution of Intuitionistic Fuzzy Multiple Attribute Decision-Making Based on Attributes Preference

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2 Author(s)
Juan Li ; Dept. of Math., Hainan Normal Univ., Haikou, China ; Chengyi Zhang

For the situations that the preference information to attributes and estimating information to alternatives are expressed by intuitionistic fuzzy values, a new solution of the multiple attribute decision-making is given. Firstly, the solution of positive-ideal alternatives and negative-ideal alternatives are studied based on the traditional TOPSIS method. We give a method to choose the possible positive-ideal solution and the possible negative-ideal solution, and deal with the uncertainty information by entropy theory to get the only ideal alternatives. Secondly, the new solution of the best attribute weight vector is discussed. A new math model for solving the best attribute weight vector is given based on the isomorphism of intuitionistic fuzzy sets, and the process for solving multiple attribute decision-making is introduced. Finally, a practical example is illustrated to verify the effectiveness of this method.

Published in:

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on  (Volume:3 )

Date of Conference:

14-16 Aug. 2009