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Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval type-2 fuzzy sets

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

Type-2 fuzzy sets involve more uncertainties than type-1 fuzzy sets. They provide us additional degrees of freedom to represent the uncertainty and the fuzziness of the real-world. Type-2 fuzzy sets can be regarded as an extension of type-1 fuzzy sets. In this paper, we extend the TOPSIS method to propose a new method for handling fuzzy multiple attributes group decision-making problems based on the ranking values of interval type-2 fuzzy sets. The proposed method provides us a useful way to handle fuzzy multiple attributes group decision-making problems in a more flexible and more intelligent manner.

Published in:

Machine Learning and Cybernetics, 2008 International Conference on  (Volume:6 )

Date of Conference:

12-15 July 2008