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A new prioritized information fusion algorithm based on GMA operators and generalized fuzzy-number similarity measure

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2 Author(s)
Shi-Jay Chen ; Dept. of Inf. Manage., Nat. United Univ., Miao Li, Taiwan ; Hsiao-Wei Kao

In this paper, we present a new prioritized information fusion algorithm based on GMA operators and generalized fuzzy-number similarity measure to deal with multi-criteria fuzzy decision-making problems. The proposed prioritized information fusion algorithm has several advantages. That it can handle multi-criteria fuzzy decision-making problems in a useful manner that allows generalized fuzzy numbers or crisp values between zero and one to represent the evaluating values of criteria and can avoid some drawbacks present some existing algorithms.

Published in:

Electronics and Information Engineering (ICEIE), 2010 International Conference On  (Volume:2 )

Date of Conference:

1-3 Aug. 2010