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A Cognitively Inspired Knowledge-Based Decision-Making Methodology Employing Intuitionistic Fuzzy Sets

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Abstract

The differentiation procedure of intuitionistic fuzzy sets (IFSs) is very important in multiple criteria decision-making (MCDM). The aim here is to introduce a fruitful class of knowledge measures related to the information provided in terms of IFSs. We present a class of knowledge measures of IFSs that are based on the two notions: the fuzziness and the intuitionism of an IFS. An experimental problem is employed to illustrate the weight determination method based on the proposed knowledge measures.

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Authors and Affiliations

  1. Department of Mathematics, Quchan University of Technology, Quchan, Iran

    Bahram Farhadinia

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  1. Bahram Farhadinia
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Correspondence to Bahram Farhadinia.

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Farhadinia, B. A Cognitively Inspired Knowledge-Based Decision-Making Methodology Employing Intuitionistic Fuzzy Sets. Cogn Comput 12, 667–678 (2020). https://doi.org/10.1007/s12559-019-09702-7

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  • DOI: https://doi.org/10.1007/s12559-019-09702-7

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