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Some novel intuitionistic fuzzy information fusion methods in decision making with interaction among attributes

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Abstract

In order to solve multi-attribute decision making problems involving inter-dependence or interaction among the attributes, in this paper, two new Atanassov intuitionistic fuzzy integral operators, namely the Atanassov intuitionistic fuzzy Zhenyuan averaging operator and the Atanassov intuitionistic fuzzy Zhenyuan geometric operator, are proposed. The devised operators fully consider the importance of interactions among different attributes and are highly suitable to handle problems where the attributes are inter-dependent or interactive. Some of their desirable properties are studied. Finally, a series of simulations are provided to demonstrate the advantages and validity of the proposed aggregation operators.

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Acknowledgements

This paper is supported by National Social Science Fund of China (No. 18BTJ027)

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Authors and Affiliations

  1. Department of Basic Science, Tianjin Agricultural University, Tianjin, 300384, China

    Zhimin Mu

  2. School of Business, Ningbo University, Ningbo, 315211, China

    Shouzhen Zeng

Authors
  1. Zhimin Mu
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  2. Shouzhen Zeng
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Correspondence to Shouzhen Zeng.

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Mu, Z., Zeng, S. Some novel intuitionistic fuzzy information fusion methods in decision making with interaction among attributes. Soft Comput 23, 10439–10448 (2019). https://doi.org/10.1007/s00500-018-3600-4

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