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Hesitant Fuzzy Prioritized Hybrid Average Operator and Its Application to Multiple Attribute Decision Making

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International Conference on Oriental Thinking and Fuzzy Logic

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 443))

Abstract

Considering the double impact of priority level of attribute and the dispersion degree of hesitant fuzzy elements, we propose a prioritized hybrid weighted method based on the hesitant fuzzy information entropy. Then, we put forward the hesitant fuzzy prioritized hybrid average (HFPHA) operator based on the hybrid weighted methods, furthermore, we discuss some desirable properties of the proposed operator.

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Author information

Authors and Affiliations

  1. School of Business Administration, South China University of Technology, Guangzhou, 510641, China

    Chuan-yang Ruan, Jian-hui Yang, Jing Duan & Ruo-bing Liu

  2. School of Economics and Commerce, South China University of Technology, Guangzhou, 510006, China

    Li-na Han

Authors
  1. Chuan-yang Ruan
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  2. Jian-hui Yang
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  3. Li-na Han
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  4. Jing Duan
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  5. Ruo-bing Liu
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Corresponding author

Correspondence to Jian-hui Yang .

Editor information

Editors and Affiliations

  1. Guangzhou Vocational Collg. Sci. & Tech., Guangzhou, China

    Bing-Yuan Cao

  2. West Texas A&M University, Canyon,TX,USA, Liaoning Technical University, Fuxin, China

    Pei-Zhuang Wang

  3. Foreign Affairs Office, National Defense University, Beijing, China

    Zeng-Liang Liu

  4. School of Math and Info. Science, Guangzhou University, Guangzhou, China

    Yu-Bin Zhong

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© 2016 Springer International Publishing Switzerland

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Ruan, Cy., Yang, Jh., Han, Ln., Duan, J., Liu, Rb. (2016). Hesitant Fuzzy Prioritized Hybrid Average Operator and Its Application to Multiple Attribute Decision Making. In: Cao, BY., Wang, PZ., Liu, ZL., Zhong, YB. (eds) International Conference on Oriental Thinking and Fuzzy Logic. Advances in Intelligent Systems and Computing, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-30874-6_22

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  • DOI: https://doi.org/10.1007/978-3-319-30874-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30873-9

  • Online ISBN: 978-3-319-30874-6

  • eBook Packages: EngineeringEngineering (R0)

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