Talent Assessment Multi-criteria Decision Method with Multiple Fuzzy Numbers Based on TOPSIS_Vol. 1 No. 3 (JIKE 2023)_Journal of Intelligence and Knowledge Engineering (ISSN: 2959-0620)

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Talent Assessment Multi-criteria Decision Method with Multiple Fuzzy Numbers Based on TOPSIS

DOI: https://doi.org/10.62517/jike.202304307

Author(s)

Hongqiang Ma1,2, Jidan Huang2,*

Affiliation(s)

1Shanghai Institute of Visual Arts, Shanghai, China 2Glorious Sun School of Business and Management, Donghua University, Shanghai, China *Corresponding Author

Abstract

In the context of introducing high-level talents, the issue of talent evaluation has always been a challenge for decision-makers. Selecting exceptional candidates from a pool of applicants, based on scientific assessment, has been a perplexing task. This article proposes that talent assessment is a complex process, and suggests using the TOPSIS method to address this challenge. By employing a mixed fuzzy number multi-criteria decision-making approach, a ranking plan for talent selection can be formulated, thereby aiding decision-makers in determining the most suitable candidate based on the optimal solution of the criteria.

Keywords

Fuzzy; Random Variable; TOPSIS; Multi-criteria Decision-Making; Talent Introduction

References

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