ORIGINAL RESEARCH article
Front. Educ.
Sec. Assessment, Testing and Applied Measurement
Volume 10 - 2025 | doi: 10.3389/feduc.2025.1614174
How to improve university-enterprise cooperation: application of intuitionistic fuzzy multi-attribute decision-making method based on decision-maker preferences in university-enterprise cooperation satisfaction evaluation
Provisionally accepted
- 1Shanghai Polytechnic University, Shanghai, Shanghai, China
- 2Fudan University, Shanghai, Shanghai Municipality, China
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University-enterprise cooperation (UEC) plays a vital role in aligning higher education with industry needs and enhancing students' employability. This study, conducted at universities of applied sciences in China, proposes an intuitionistic fuzzy multi-attribute decision-making (IFMADM) model to evaluate student satisfaction with UEC. By integrating intuitionistic fuzzy sets and intuitive fuzzy entropy, the model addresses uncertainty in student assessments and quantifies the importance of different cooperation attributes. Based on survey data from 290 postgraduate students, the findings reveal that satisfaction with guidance from university and enterprise tutors during enterprise practice significantly influences overall student satisfaction, with the attribute related to university tutor guidance showing the highest weight. These insights suggest that strengthening mentorship mechanisms can substantially improve UEC outcomes.The model not only provides a robust tool for UEC evaluation but also offers actionable guidance for universities and enterprises to enhance student-centered cooperation practices.
Keywords: UEC, Education evaluation, Intuitionistic fuzzy set, intuitive fuzzy entropy, IFWA operator, decision-maker preferences
Received: 18 Apr 2025; Accepted: 16 Jul 2025.
Copyright: © 2025 Zhang, Ziqun and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xinrong Chen, Fudan University, Shanghai, 200433, Shanghai Municipality, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.