Training model of practical innovative talents in polytechnic colleges based on fuzzy set and its extended modeling

被引:2
|
作者
Wang, Xin [1 ]
Yan, Zhengying [1 ]
Wang, Sheng [1 ]
Wang, Lili [2 ]
机构
[1] Yangzhou Polytech Inst, Fac Innovat & Entrepreneurship, Yangzhou 225000, Peoples R China
[2] City Univ Macau, Fac Business, Macau 999078, Peoples R China
关键词
Practical and Innovative Talents; Fuzzy Set; Fuzzy Comprehensive Evaluation; Extended Modeling; KNOWLEDGE;
D O I
10.1016/j.lmot.2023.101941
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] A PRACTICAL O-D MATRIX ESTIMATION MODEL BASED ON FUZZY SET THEORY FOR LARGE CITIES
    Shafahi, Yousef
    Faturechi, Reza
    23RD EUROPEAN CONFERENCE ON MODELLING AND SIMULATION (ECMS 2009), 2009, : 77 - 83
  • [32] Extended rough sets model based on fuzzy granular ball and its attribute reduction
    Ji, Xia
    Peng, JianHua
    Zhao, Peng
    Yao, Sheng
    INFORMATION SCIENCES, 2023, 640
  • [33] Control model of the heating hot blast stove regenerative chamber based on fuzzy knowledge with training set
    Simkin, Alexander
    Kobysh, Elena
    Metallurgical and Mining Industry, 2015, 7 (06): : 96 - 101
  • [34] NOVEL MODELING APPROACH BASED ON FUZZY SET-THEORY TO GRADED PROBLEM DIAGNOSIS AND ITS APPLICATION
    FU, CS
    WANG, SQ
    WANG, JC
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1992, 23 (06) : 975 - 985
  • [35] The Sustainable Island Development Evaluation Model and Its Application Based on the Nonstructural Decision Fuzzy Set
    Wang, Quanming
    Li, Peiying
    Sun, Qinbang
    ABSTRACT AND APPLIED ANALYSIS, 2013,
  • [36] Distance-based rough set model in intuitionistic fuzzy information systems and its application
    Huang, Bing
    Wei, Da-Kuan
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2011, 31 (07): : 1356 - 1362
  • [37] A Fuzzy Rough Set Model Based on Reliability Over Dual-Universe and Its Applications
    Shao, Yabin
    Qi, Xiaoding
    Gong, Zengtai
    IEEE ACCESS, 2019, 7 : 50605 - 50617
  • [38] BINARY FUZZY ROUGH SET MODEL BASED ON TRIANGLE MODULUS AND ITS APPLICATION TO IMAGE PROCESSING
    Wang Dan
    Wu Meng-da
    PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, 2009, : 249 - 255
  • [39] Quality Evaluation Model of Mobile Internet Innovative Education Personnel Training Based on Fuzzy Analytic Hierarchy Process
    Lyu, Cong-gang
    ADVANCED HYBRID INFORMATION PROCESSING, PT II, 2022, 417 : 383 - 393
  • [40] An extended hesitant fuzzy set for modeling multi-source uncertainty and its applications in multiple-attribute decision-making
    Li, Li
    Xu, Yuan
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238