An Empirical Study on the Quality of Industry-Linked Education in Vocational Colleges: Double-Framed TreeSoft Set Framework

Authors

  • Yanbin Liu Ruzhou Vocational and Technical College, Pingdingshan, Henan, 467500, China
  • Peina Liang Henan Quality Polytechnic, Pingdingshan, Henan, 467500, China
  • Jingjie Ma Ruzhou Vocational and Technical College, Pingdingshan, Henan, 467500, China

Keywords:

Double-Framed TreeSoft Set; Quality of Industry; Quality of Education; Vocational Colleges.

Abstract

 Integrating industry-linked education into vocational college courses has been a key 
tactic for improving workforce preparedness in recent years. This study examines the extent and 
efficacy of industrial cooperation in vocational education contexts, emphasizing the effects of 
such alliances on innovation, employability, and skill acquisition. The study identifies obstacles 
that must be overcome and emphasizes important elements that lead to effective integration 
through empirical investigation. This study uses the multi-criteria decision making (MCDM) to 
deal with criteria and alternatives. The MAIRCA method is used to rank the alternatives. We use 
the Double-Framed TreeSoft Set to divide the main criteria into a tree. The findings are intended 
to provide useful information to industry partners, educators, and legislators who are trying to 
improve the caliber of vocational education. 

 

DOI: 10.5281/zenodo.15308761

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Published

2025-07-01

How to Cite

Yanbin Liu, Peina Liang, & Jingjie Ma. (2025). An Empirical Study on the Quality of Industry-Linked Education in Vocational Colleges: Double-Framed TreeSoft Set Framework. Neutrosophic Sets and Systems, 85, 569-587. https://fs.unm.edu/nss8/index.php/111/article/view/6276