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Fermatean Fuzzy Combined Compromise Solution Multiple Expert Multiple Criteria Decision-Making Approach

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Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 420))

Abstract

The Fermatean fuzzy set (FFS) presented is a stronger and usefulness uncertain information representation model for portraying the potential nondeterminacy of data, and the combined compromise solution (COCOSO) method can comprehensively attain a more robust decision outcome through taking into consideration three information fusion strategies. By taking the merits of FFS and COCOSO method, we advance a newly multiple expert multiple criteria decision-making (MEMCDM) technique in light of COCOSO and coefficient of variation methods with Fermatean fuzzy information. Firstly, we review several fundamental conceptions of FFS, including the score function and aggregation operators. Secondly, we put forward an innovative MEMCDM approach through synthesizing the COCOSO method and coefficient of variation method under Fermatean fuzzy environment, where the criterion weight is ascertained through improved Fermatean fuzzy coefficient of variation (COV) method from the visual angle of decision information objectivity. Afterward, a case concerning the assessment of investment enterprises is employed to further confirm the practicability and feasibility of the propounded MEMCDM method, as well as the contrast analysis is conducted to sticking out the flexibility and efficiency of the proffered MEMCDM technique.

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Acknowledgements

The research was funded by the General Program of National Natural Science Foundation of China (No: 12071280).

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Authors and Affiliations

  1. School of Management, Shanghai University, Shanghai, 200444, China

    Yuan Rong & Liying Yu

  2. School of Mathematics and Information Science, Neijiang Normal University, Neijiang, 641100, Sichuan, China

    Yi Liu

Authors
  1. Yuan Rong
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  2. Liying Yu
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  3. Yi Liu
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Correspondence to Liying Yu .

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Editors and Affiliations

  1. Department of Computer and Information Science, Raiganj University, Raiganj, West Bengal, India

    Laxminarayan Sahoo

  2. School of Mathematics and Statistics, Southwest University, Chongqing, China

    Tapan Senapati

  3. Iona College, Machine Intelligence Institute, New Rochelle, NY, USA

    Ronald R. Yager

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Rong, Y., Yu, L., Liu, Y. (2023). Fermatean Fuzzy Combined Compromise Solution Multiple Expert Multiple Criteria Decision-Making Approach. In: Sahoo, L., Senapati, T., Yager, R.R. (eds) Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain. Studies in Fuzziness and Soft Computing, vol 420. Springer, Singapore. https://doi.org/10.1007/978-981-19-4929-6_4

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