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Some new entropies and divergence measures of intuitionistic fuzzy sets based on Archimedean t-conorm and application in supplier selection

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Abstract

In this paper, we build the divergence measure of intuitionistic fuzzy sets from the Archimedean t-conorm operators and give their properties. Next, we built the entropy and knowledge measures of intuitionistic fuzzy sets based on their divergence measures. In this paper, relationships between entropy and knowledge measures are also investigated, which gives us many interesting results. We then apply the proposed measures into building the multi-criteria decision-making model. Finally, a numerical example to illustrate the model is also given in this paper.

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Authors and Affiliations

  1. Institute of Research and Development, Duy Tan University, Danang, 550000, Vietnam

    Nguyen Xuan Thao

  2. The Faculty of Information Technology, Duy Tan University, Danang, 550000, Vietnam

    Nguyen Xuan Thao

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  1. Nguyen Xuan Thao
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NXT reads the documentation and builds the measures, builds the model and applies.

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Correspondence to Nguyen Xuan Thao.

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Thao, N.X. Some new entropies and divergence measures of intuitionistic fuzzy sets based on Archimedean t-conorm and application in supplier selection. Soft Comput 25, 5791–5805 (2021). https://doi.org/10.1007/s00500-021-05575-x

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