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Modified Collaborative Group Decision-Making Framework for Innovation and Entrepreneurship Education Quality Evaluation With Intuitionistic Fuzzy Sets
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Author(s): Zhen Miao (Yuying Education College, Zhengzhou Tourism College, Zhengzhou, China)and Xiangni Mu (School of Humanities and International Studies, Xi'an Peihua University, Shaanxi, China)
Copyright: 2026
Volume: 22
Issue: 1
Pages: 23
Source title:
International Journal of e-Collaboration (IJeC)
Editor(s)-in-Chief: Jingyuan Zhao (University of Toronto, Canada)
DOI: 10.4018/IJeC.402037
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Abstract
The quality evaluation of vocational colleges' innovation and entrepreneurship education (IEE), integrating professional skills and industrial demands, is a multi-dimensional, uncertain process crucial for optimizing talent cultivation and educational strategies. The quality evaluation of innovation and entrepreneurship education (IEE) in vocational colleges falls into the category of multi-attribute group decision-making (MAGDM). Intuitionistic fuzzy sets (IFSs) are adopted to depict uncertain evaluation information, with a numerical study on quality evaluation of vocational colleges' IEE used to validate the proposed method. The CRITIC technique is adopted to quantify the attribute weights in a objective manner. As the Evaluation based on Distance from Average Solution (EDAS) technique has recently proven effective in addressing MAGDM problems, this paper develops an intuitionistic fuzzy number EDAS (IFN-EDAS) technique based on Hamming distance. Finally, a numerical study for quality evaluation of IEE in vocational colleges is supplied to validate the proposed technique.
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