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Training model of practical innovative talents in polytechnic colleges based on fuzzy set and its extended modeling
Learning and Motivation ( IF 1.488 ) Pub Date : 2023-10-31 , DOI: 10.1016/j.lmot.2023.101941
Wang Xin , Yan Zhengying , Wang Sheng , Wang Lili

Currently, some problems still exist in the cultivation system of innovative and entrepreneurial talents. Therefore, the education department should also continue to carry out practice on the relevant talent training mode, to determine the talent training mode most suitable for the growth of polytechnic colleges. Colleges and universities should take entrepreneurship and innovation ability as the fundamental purpose so that students are not only job seekers, but also creators. The fuzzy set and its extended modelling are crucial for developing students' innovation skills. Therefore, on this basis, this paper proposed a model for cultivating innovative talents with fuzzy sets as the core. The fuzzy comprehensive evaluation (FCE) method is one of the most widely utilized and efficient evaluation methods, which applies to multi-objective evaluation models, thus reflecting the comprehensive and complex nature of the assessment. The ultimate purpose was to derive the decision rules and help the decision-makers make better decisions. The experimental findings of this article showed that there were 3 and 4 students with strong practical ability in Model 1 and Model 2 before the experiment, and there were 8 and 33 students with strong practical ability in Model 1 and Model 2 after the experiment.



中文翻译:

基于模糊集及其扩展建模的高职院校实践创新人才培养模型

当前,创新创业人才培养体系还存在一些问题。因此,教育部门也应不断对相关人才培养模式进行实践,确定最适合理工学院成长的人才培养模式。高校要把创业创新能力作为根本宗旨,让学生不仅是求职者,更是创造者。模糊集及其扩展建模对于培养学生的创新技能至关重要。因此,在此基础上,本文提出了一种以模糊集为核心的创新人才培养模型。模糊综合评价(FCE)方法是应用最广泛、最高效的评价方法之一,适用于多目标评价模型,体现了评价的综合性和复杂性。最终目的是导出决策规则,帮助决策者做出更好的决策。本文的实验结果表明,实验前模型1和模型2中实践能力较强的学生分别为3人和4人,实验后模型1和模型2中实践能力较强的学生分别为8人和33人。

更新日期:2023-11-01
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