Approach to Multi-Attribute Decision Making Based on Spherical Fuzzy Einstein Z-Number Aggregation Information

Authors

DOI:

https://doi.org/10.31181/jopi21202411

Keywords:

Spherical Fuzzy Z-numbers, Spherical fuzzy Einstein Z-number aggregation operators, Einstein Aggregation Operators, Multi-Attribute Decision Making

Abstract

In this study, we first introduced the spherical fuzzy Z-numbers (SFZNs) and developed some basic operational rules. SFZNs can be used effectively to make true ambiguous judgments, reflecting the fuzzy nature, flexibility, and applicability of decisions making data. Furthermore, we developed some spherical fuzzy Einstein Z-number weighted averaging/geometric aggregation operators and their important axioms.  Finally, We developed the algorithms based on the proposed operators to tackle the uncertain information in decision-making problems. Finally, I developed the relative comparison and discussion analysis to show the practicability of the technique.

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Author Biographies

  • Adan Fatima, Institute of Mathematics, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

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  • Shahzaib Ashraf, Institute of Mathematics, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

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  • Chiranjibe Jana, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, Tamil Nadu, India

    .

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Published

2024-02-24

How to Cite

Fatima, A. ., Ashraf, S. ., & Jana, C. (2024). Approach to Multi-Attribute Decision Making Based on Spherical Fuzzy Einstein Z-Number Aggregation Information. Journal of Operations Intelligence, 2(1), 179-201. https://doi.org/10.31181/jopi21202411