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An intuitionistic fuzzy weighted OWA operator and its application

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Abstract

In this paper, we define a new operator, an intuitionistic fuzzy weighted OWA (IFWOWA) operator, to aggregate intuitionistic fuzzy information. The proposed operator combines the advantages of the intuitionistic fuzzy weighted averaging (IFWA) operator and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We then study its properties, compare it with the intuitionistic fuzzy hybrid averaging (IFHA) operator, and use it to solve multi-attribute group decision making problem with intuitionistic fuzzy information.

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Acknowledgments

The work was partly supported by the National Natural Science Foundation of China (71171187, 11071142), Ministry of Education Foundation of Humanities and Social Sciences (10YJC630269).

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Authors and Affiliations

  1. School of Business Administration, Northeastern University, Shenyang, 110004, Liaoning, China

    Xia Liang

  2. Institute of Operations Research, Qufu Normal University, Rizhao, 276826, Shandong, China

    Cuiping Wei & Zhimin Chen

Authors
  1. Xia Liang
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  2. Cuiping Wei
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  3. Zhimin Chen
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Correspondence to Cuiping Wei.

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Liang, X., Wei, C. & Chen, Z. An intuitionistic fuzzy weighted OWA operator and its application. Int. J. Mach. Learn. & Cyber. 4, 713–719 (2013). https://doi.org/10.1007/s13042-012-0147-z

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  • DOI: https://doi.org/10.1007/s13042-012-0147-z

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