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Novel Development to the Theory of Dombi Exponential Aggregation Operators in Neutrosophic Cubic Hesitant Fuzzy Sets: Applications to Solid Waste Disposal Site Selection

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  • Ateeq Ur Rehman
  • Muhammad Gulistan
  • Nasreen Kausar
  • Sajida Kousar
  • Mohammed M. Al-Shamiri
  • Rashad Ismail

Abstract

The neutrosophic cubic hesitant fuzzy set can efficiently handle the complex information in a decision‐making problem because it combines the advantages of the neutrosophic cubic set and the hesitant fuzzy set. The algebraic operations based on Dombi norms and co‐norms are more flexible than the usual algebraic operations as they involve an operational parameter. First, this paper establishes Dombi algebraic operational laws, score functions, and similarity measures in neutrosophic cubic hesitant fuzzy sets. Then, we proposed Dombi exponential operational laws in which the exponents are neutrosophic cubic hesitant fuzzy values and bases are positive real numbers. To use neutrosophic cubic hesitant fuzzy sets in decision‐making, we are developing Dombi exponential aggregation operators in the current study. In the end, we present applications of exponential aggregation operators in multiattribute decision‐making problems.

Suggested Citation

  • Ateeq Ur Rehman & Muhammad Gulistan & Nasreen Kausar & Sajida Kousar & Mohammed M. Al-Shamiri & Rashad Ismail, 2022. "Novel Development to the Theory of Dombi Exponential Aggregation Operators in Neutrosophic Cubic Hesitant Fuzzy Sets: Applications to Solid Waste Disposal Site Selection," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:3828370
    DOI: 10.1155/2022/3828370
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    References listed on IDEAS

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    1. Ezgi Türkarslan & Jun Ye & Mehmet Ünver & Murat Olgun, 2021. "Consistency Fuzzy Sets and a Cosine Similarity Measure in Fuzzy Multiset Setting and Application to Medical Diagnosis," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, June.
    2. Liu Feng & Fan Chuan-qiang & Xie Wei-he, 2018. "Type-2 Hesitant Fuzzy Sets," Fuzzy Information and Engineering, Taylor & Francis Journals, vol. 10(2), pages 249-259, April.
    3. Meimei Xia & Zeshui Xu, 2014. "A Novel Method for Fuzzy Multi-Criteria Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 497-519.
    4. Guangquan Zhang & Jie Lu, 2003. "An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria," Group Decision and Negotiation, Springer, vol. 12(6), pages 501-515, November.
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