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Interval-Valued Probabilistic Hesitant Fuzzy Set Based Muirhead Mean for Multi-Attribute Group Decision-Making

Author

Listed:
  • R. Krishankumar

    (School of Computing, SASTRA University, Thanjavur 613401, Tamil Nadu, India)

  • K. S. Ravichandran

    (School of Computing, SASTRA University, Thanjavur 613401, Tamil Nadu, India)

  • M. Ifjaz Ahmed

    (School of Computing, SASTRA University, Thanjavur 613401, Tamil Nadu, India)

  • Samarjit Kar

    (Department of Mathematics, National Institute of Technology, Durgapur-713209, West Bengal, India)

  • Xindong Peng

    (School of Information Sciences & Engineering, Shaoguan University, Shaoguan 512005, China)

Abstract

As a powerful generalization to fuzzy set, hesitant fuzzy set (HFS) was introduced, which provided multiple possible membership values to be associated with a specific instance. But HFS did not consider occurrence probability values, and to circumvent the issue, probabilistic HFS (PHFS) was introduced, which associates an occurrence probability value with each hesitant fuzzy element (HFE). Providing such a precise probability value is an open challenge and as a generalization to PHFS, interval-valued PHFS (IVPHFS) was proposed. IVPHFS provided flexibility to decision makers (DMs) by associating a range of values as an occurrence probability for each HFE. To enrich the usefulness of IVPHFS in multi-attribute group decision-making (MAGDM), in this paper, we extend the Muirhead mean (MM) operator to IVPHFS for aggregating preferences. The MM operator is a generalized operator that can effectively capture the interrelationship between multiple attributes. Some properties of the proposed operator are also discussed. Then, a new programming model is proposed for calculating the weights of attributes using DMs’ partial information. Later, a systematic procedure is presented for MAGDM with the proposed operator and the practical use of the operator is demonstrated by using a renewable energy source selection problem. Finally, the strengths and weaknesses of the proposal are discussed in comparison with other methods.

Suggested Citation

  • R. Krishankumar & K. S. Ravichandran & M. Ifjaz Ahmed & Samarjit Kar & Xindong Peng, 2019. "Interval-Valued Probabilistic Hesitant Fuzzy Set Based Muirhead Mean for Multi-Attribute Group Decision-Making," Mathematics, MDPI, vol. 7(4), pages 1-16, April.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:4:p:342-:d:221305
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    References listed on IDEAS

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    1. Chai, Junyi & Ngai, Eric W.T., 2015. "Multi-perspective strategic supplier selection in uncertain environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 215-225.
    2. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
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    Cited by:

    1. Tian Chen & Shiyao Li & Chun-Ming Yang & Wenting Deng, 2022. "Developing an Enterprise Diagnostic Index System Based on Interval-Valued Hesitant Fuzzy Clustering," Mathematics, MDPI, vol. 10(14), pages 1-22, July.

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