Multiattribute decision making based on intuitionistic fuzzy interaction average operators: a comparison |
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Authors: | Dejian Yu |
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Affiliation: | School of Information, Zhejiang University of Finance and Economics, Hangzhou, China |
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Abstract: | This paper proposes a new family of intuitionistic fuzzy information aggregation operators for multiattribute decision making. Such aggregate operators provide an excellent complement to the existing ones. In this study, comparison with existing intuitionistic fuzzy aggregation operators is presented in detail. Properties and special cases of the proposed operators are investigated. Finally, we introduce an approach to intuitionistic fuzzy multiattribute decision making. An example of the recruitment of intern candidates is illustrated to show the feasibility and superiority of the proposed method. |
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Keywords: | intuitionistic fuzzy set aggregation operator information fusion multiattribute decision making recruitment |
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