Abstract
Integration of industry and education is a strategic measure to address the structural imbalance issues in the scientific and technological development and industrial transformation, as well as educational system. Currently, joint efforts of governments, universities, and enterprises have achieved improvements in integrating education and various related industries. However, the evaluation of industry-education integration has not received sufficient attention it deserves. Based on the context-input-process-product (CIPP) evaluation model, this paper proposes an evaluation index system for urban industry-education integration. Considering the vagueness and uncertainty of the indexes, the evaluation model is established using intuitionistic fuzzy analytic hierarchy process (IFAHP) method and 2-tuple linguistic information representation approach. A case study indicates that industry-education integration environment is the most important division of evaluation, with local regulation being the most important evaluation index. The evaluation model is proven to be effective in improving the urban industry-education integration.
Highlights
Integration of industry and education is of great significance for facilitating the connections among education, talent, industry, and innovation and efficiently contributing to a healthy and sustainable economic growth [1]
Urban industry-education integration is a complex system involving multisubject. e information for its evaluation is featured by multisource, randomness, and ambiguity. For such complex decision-making process, decision makers often use fuzzy sets or fuzzy linguistic variables to express fuzzy preferences [10]. erefore, this paper proposes a synthetic model built with intuitionistic fuzzy analytic hierarchy process (IFAHP) and 2-tuple linguistic information representation. e IFAHP method is used to obtain weights of the indexes, and the 2-tuple linguistic approach is used to calculate the total evaluation score
Since the intuitionistic fuzzy set is effective in describing vagueness and uncertainty, the IFAHP method provides a more accurate description of the decision-making process [15]
Summary
Integration of industry and education is of great significance for facilitating the connections among education, talent, industry, and innovation and efficiently contributing to a healthy and sustainable economic growth [1]. Xie et al [9] proposed a systematic model, combining the analytic hierarchy process and Delphi method to evaluate the cooperation between higher vocational college and enterprise These studies just dealt with quantitative data or linguistic terms, neglecting the fuzzy preferences of decision makers. Erefore, this paper proposes a synthetic model built with intuitionistic fuzzy analytic hierarchy process (IFAHP) and 2-tuple linguistic information representation. Since the intuitionistic fuzzy set is effective in describing vagueness and uncertainty, the IFAHP method provides a more accurate description of the decision-making process [15]. Using the 2-tuple linguistic model, the decision makers’ preferences are transformed into 2-tuple linguistic information, which can effectively avoid information distortion or loss, make more accurate calculation results [20] Since it was proposed, the theory of 2-tuple linguistic has been developed rapidly, especially in the 2-tuple linguistic information aggregation operators.
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