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A new information fusion method based on interval-valued fuzzy numbers for handling multi-criteria fuzzy decision-making problems

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

We present a new information fusion method for fusing decision-maker's linguistic opinions to deal with multi-criteria fuzzy decision-making problems. The proposed information fusion algorithm uses interval-valued fuzzy numbers to represent the decision-makers' linguistic opinions. It uses linguistic quantifiers based on the FN-IOWA operator to flexibly determine the weights of linguistic opinions of each decision-maker for aggregating these linguistic opinions in different linguistic constraints. The proposed method can handle multi-criteria fuzzy decision-making problems in a more intelligent and more flexible manner.

Published in:

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on  (Volume:2 )

Date of Conference:

25-29 July 2004