Clear Approach to Education Quality Evaluation of Multilingual Higher Education Internationalization under Probabilistic Simplified Neutrosophic Sets for Academic Improvement

Authors

  • Qing Li School of Humanities, Zhuhai College of Science and Technology, Zhuhai, 519041, Guangdong, China
  • Wenya Chen School of Foreign Language, Zhuhai College of Science and Technology, Zhuhai, 519041, Guangdong, China

Keywords:

Probabilistic Simplified Neutrosophic sets; RAM Method; ITARA Method; Decision Making.

Abstract

An integrated multi-criteria decision-making (MCDM) approach is used in this study to evaluate 
multilingual higher education internationalization. This study is the first to employ a novel combination 
technique that has not yet been used for corporate performance evaluation. It is based on root assessment 
method (RAM) and indifference threshold-based attribute ratio analysis (ITARA) methodologies. The 
weights of the criteria are determined using the ITARA approach, and the RAM method is used to rank the 
alternatives. these methods are used under the neutrosophic sets to deal with vague and uncertainty data. 
This study uses the Probabilistic Simplified Neutrosophic sets to overcome uncertainty issues. Three 
experts have evaluated the criteria and alternatives. We used seven criteria and ten alternatives to be 
evaluated and selected the best one.   

 

DOI: 10.5281/zenodo.14847578

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Published

2025-04-01

How to Cite

Qing Li, & Wenya Chen. (2025). Clear Approach to Education Quality Evaluation of Multilingual Higher Education Internationalization under Probabilistic Simplified Neutrosophic Sets for Academic Improvement . Neutrosophic Sets and Systems, 81, 526-539. https://fs.unm.edu/nss8/index.php/111/article/view/5870