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
IntroductionUniversity-enterprise cooperation (UEC) is critical for bridging the gap between higher education and industry, enhancing student employability and professional readiness. However, assessing the quality of such cooperation from the student perspective remains a challenge due to subjectiv...
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| Format: | Article |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Education |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feduc.2025.1614174/full |
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| author | Ye Zhang Ziqun Zhang Xinrong Chen |
| author_facet | Ye Zhang Ziqun Zhang Xinrong Chen |
| author_sort | Ye Zhang |
| collection | DOAJ |
| description | IntroductionUniversity-enterprise cooperation (UEC) is critical for bridging the gap between higher education and industry, enhancing student employability and professional readiness. However, assessing the quality of such cooperation from the student perspective remains a challenge due to subjective uncertainty and varying attribute importance.MethodsThis study, conducted at universities of applied sciences in China, developed an intuitionistic fuzzy multi-attribute decision-making (IFMADM) model to evaluate student satisfaction with UEC. The model integrates intuitionistic fuzzy sets and intuitive fuzzy entropy to handle ambiguity in student responses and to determine the relative importance of cooperation attributes.ResultsBased on survey data from 290 postgraduate students, the analysis revealed that satisfaction with guidance from university and enterprise mentors during enterprise practice significantly impacts overall student satisfaction. Among the evaluated attributes, university tutor guidance received the highest weight.DiscussionThe findings highlight the central role of mentorship in shaping student experiences in UEC. Enhancing guidance mechanisms—particularly from university tutors—can effectively improve the quality and effectiveness of cooperation. The proposed model offers a robust evaluation framework and practical insights for optimizing student-centered UEC practices. |
| format | Article |
| id | doaj-art-7d609b24b5fc431c8bf388932bce77d0 |
| institution | DOAJ |
| issn | 2504-284X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Education |
| spelling | doaj-art-7d609b24b5fc431c8bf388932bce77d02025-08-20T02:46:04ZengFrontiers Media S.A.Frontiers in Education2504-284X2025-07-011010.3389/feduc.2025.16141741614174How to improve university-enterprise cooperation: application of intuitionistic fuzzy multi-attribute decision-making method based on decision-maker preferences in university-enterprise cooperation satisfaction evaluationYe Zhang0Ziqun Zhang1Xinrong Chen2College of Vocational and Technical Teacher Education, Shanghai Polytechnic University, Shanghai, ChinaInformatization Office, Fudan University, Shanghai, ChinaAcademy for Engineering and Technology, Fudan University, Shanghai, ChinaIntroductionUniversity-enterprise cooperation (UEC) is critical for bridging the gap between higher education and industry, enhancing student employability and professional readiness. However, assessing the quality of such cooperation from the student perspective remains a challenge due to subjective uncertainty and varying attribute importance.MethodsThis study, conducted at universities of applied sciences in China, developed an intuitionistic fuzzy multi-attribute decision-making (IFMADM) model to evaluate student satisfaction with UEC. The model integrates intuitionistic fuzzy sets and intuitive fuzzy entropy to handle ambiguity in student responses and to determine the relative importance of cooperation attributes.ResultsBased on survey data from 290 postgraduate students, the analysis revealed that satisfaction with guidance from university and enterprise mentors during enterprise practice significantly impacts overall student satisfaction. Among the evaluated attributes, university tutor guidance received the highest weight.DiscussionThe findings highlight the central role of mentorship in shaping student experiences in UEC. Enhancing guidance mechanisms—particularly from university tutors—can effectively improve the quality and effectiveness of cooperation. The proposed model offers a robust evaluation framework and practical insights for optimizing student-centered UEC practices.https://www.frontiersin.org/articles/10.3389/feduc.2025.1614174/fullUECeducation evaluationintuitionistic fuzzy setintuitive fuzzy entropyIFWA operatordecision-maker preferences |
| spellingShingle | Ye Zhang Ziqun Zhang Xinrong Chen 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 Frontiers in Education UEC education evaluation intuitionistic fuzzy set intuitive fuzzy entropy IFWA operator decision-maker preferences |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | UEC education evaluation intuitionistic fuzzy set intuitive fuzzy entropy IFWA operator decision-maker preferences |
| url | https://www.frontiersin.org/articles/10.3389/feduc.2025.1614174/full |
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