Combined Group Decision-Making Framework for Employment Quality Evaluation in Higher Education Institutions under Single-Valued Neutrosophic Sets

Authors

  • Hongzhi Zhao Physics and Electronic Engineering Department, Xinxiang University, Xinxiang, 453003, Henan, China
  • Fengqiang Zhang XinXiang NO.1 Middle School, Xinxiang city of Henan Province, 453003, Henan, China

Keywords:

MAGDM; SVNSs; information entropy; ExpTODIM approach; VIKOR approach; employment quality evaluation

Abstract

 The evaluation of employment quality in higher education institutions refers to assessing 
graduates' performance and employment status through multiple dimensions. It mainly includes 
employment rate, job satisfaction, salary levels, industry distribution, and career development prospects. 
This evaluation not only reflects the educational quality and social recognition of the institution but also 
provides valuable insights for optimizing teaching and training programs, helping graduates better meet 
the demands of the labor market. The employment quality evaluation in higher education institutions 
is a multi-attribute group decision-making (MAGDM) problem. Recently, the Exponential TODIM 
(ExpTODIM) and VIKOR methods have been applied to address MAGDM challenges. Single
valued neutrosophic sets (SVNSs) are employed as a tool to represent uncertain data in the 
employment quality evaluation in higher education institutions. In this paper, we propose the single
valued neutrosophic number Exponential TODIM-VIKOR (SVNN-ExpTODIM-VIKOR) method 
to solve MAGDM problems under SVNSs. Finally, a numerical case study is presented to validate 
the effectiveness of the proposed method in evaluating the employment quality in higher education 
institutions. 

 

DOI: 10.5281/zenodo.14121274

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Published

2024-11-13

How to Cite

Hongzhi Zhao, & Fengqiang Zhang. (2024). Combined Group Decision-Making Framework for Employment Quality Evaluation in Higher Education Institutions under Single-Valued Neutrosophic Sets. Neutrosophic Sets and Systems, 77, 310-330. https://fs.unm.edu/nss8/index.php/111/article/view/5281