A Fuzzy Information Evaluation Model for Scientific Innovation of Art Talents in Colleges

Authors

  • Fanwen Kong Shandong University (Weihai) Art College, Weihai 264209, China

DOI:

https://doi.org/10.3991/ijet.v15i12.14529

Abstract


In most colleges, the current scientific innovation model for art talents is not well implemented. Besides, it is a complex task to evaluate the effect of the said model. To solve the problems, this paper attempts to renovate the scientific innovation model for art talent in colleges. Firstly, the authors identified the problems in the current scientific innovation model for art talent training in colleges, and put forward several countermeasures. To evaluate the scientific innovation model, the performance indicators were selected and weighted based on analytical hierarchy analysis (AHP). Next, a fuzzy information evaluation model was established based on the weighted indicators. The research results provide strong supports to the scientific innovation of art talents in colleges.

Author Biography

Fanwen Kong, Shandong University (Weihai) Art College, Weihai 264209, China

Fanwen Kong, a graduate from Shanghai Theater Academy. He works on painting practice and teaching in the Art College of Shandong University (Weihai). He is specialized in oil painting, lacquer painting, art education and teaching management, and has published several core papers.

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Published

2020-06-26

How to Cite

Kong, F. (2020). A Fuzzy Information Evaluation Model for Scientific Innovation of Art Talents in Colleges. International Journal of Emerging Technologies in Learning (iJET), 15(12), pp. 217–229. https://doi.org/10.3991/ijet.v15i12.14529

Issue

Vol. 15 No. 12 (2020)

Section

Papers

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