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Novel Technique for Group Decision-Making under Fuzzy Parameterized - Rung Orthopair Fuzzy Soft Expert Framework

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  • Ghous Ali
  • Musavarah Sarwar

Abstract

The - rung orthopair fuzzy sets and their hybrid models are capable of dealing with uncertain situations very effectively than the theories of intuitionistic and Pythagorean fuzzy sets and thus have numerous decision-making applications in daily life, while the fuzzy parameterized soft set theory has its impact on different decision-making scenarios. Motivated by these facts, in this research article, these theories are combined to form a new structure named fuzzy parameterized - rung orthopair fuzzy soft expert sets ( ROFSESs) for dealing with more generalized information. The developed model is an efficient extension of fuzzy parameterized intuitionistic fuzzy soft expert sets. Some of its basic notions, including subset, complement, OR operation, AND operation, intersection, and union are studied and illustrated via examples. Moreover, to show the applicability and efficiency of the developed model, two real-life applications are solved under the ROFSES approach, which is supported by an algorithm, the first application is about selecting an appropriate site for a cafe outlet, and the second application is about selecting the Best News Channel for an award. At last, a comparison of the initiated model with some existing approaches is presented to verify its advantages over them.

Suggested Citation

  • Ghous Ali & Musavarah Sarwar, 2021. "Novel Technique for Group Decision-Making under Fuzzy Parameterized - Rung Orthopair Fuzzy Soft Expert Framework," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-22, October.
    • Handle: RePEc:hin:jnlmpe:5449403
    DOI: 10.1155/2021/5449403
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    Cited by:

    1. Mehmet Ali Balcı & Larissa M. Batrancea & Ömer Akgüller, 2022. "Network-Induced Soft Sets and Stock Market Applications," Mathematics, MDPI, vol. 10(21), pages 1-24, October.
    2. Xiaohang Wu & Hasan Dinçer & Serhat Yüksel, 2022. "Analysis of crowdfunding platforms for microgrid project investors via a q-rung orthopair fuzzy hybrid decision-making approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.

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