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A new method for multicriteria fuzzy decision making based on ranking interval-valued intuitionistic fuzzy values

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3 Author(s)
Shyi-Ming Chen ; Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan ; Ming-Wey Yang ; Churn-Jung Liau

This paper presents a new method for multicriteria fuzzy decision making based on the ranking interval-valued intuitionistic fuzzy values, where interval-valued intuitionistic fuzzy values are used to represent evaluating values of the decision-maker with respect to alternatives. We propose a new method for ranking interval-valued intuitionistic fuzzy values. Based on the proposed fuzzy ranking method of interval-valued intuitionistic fuzzy values, we propose a new method for multicriteria fuzzy decision making. We also use an example to illustrate the multicriteria fuzzy decision making process of the proposed method. The proposed method provides us with a useful way for dealing with multicriteria fuzzy decision making problems based on ranking interval-valued intuitionistic fuzzy values.

Published in:

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on  (Volume:1 )

Date of Conference:

10-13 July 2011