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 spherical fuzzy Z-numbers (SFZNs) and developed some basic operational rules. SFZNs can be used effectively to make truly ambiguous judgments, reflecting the fuzzy nature, flexibility, and applicability of decision-making data. Furthermore, we developed some spherical fuzzy Einstein Z-number weighted averaging and geometric aggregation operators along with their important axioms. Finally, we developed algorithms based on the proposed operators to tackle uncertain information in decision-making problems. Additionally, I developed a relative comparison and discussion analysis to demonstrate 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