Affiliation:
1. Yiwu Industrial & Commercial College, Jinhua, Yiwu, Zhejiang, China
Abstract
The quality management of higher vocational education has become an important part of talent training in colleges and universities. With the increasing demand for social talents, the adaptability of traditional teaching management concepts has gradually emerged. In this case, the innovation and practice of education quality management will become the key research content of higher vocational colleges in the new era in combination with the actual situation of higher vocational colleges and from the perspective of the overall development of talents in vocational colleges. The higher vocational education management quality evaluation is viewed as the multi-attribute decision-making (MADM). In this paper, the cross-entropy method under The fuzzy number intuitionistic fuzzy sets (FNIFSs) is built based on the traditional cross-entropy method. Firstly, the FNIFSs is introduced. Then, combine the traditional fuzzy cross-entropy method with FNIFSs information, the cross-entropy method is established for MADM under FNIFSs. Finally, a numerical example for higher vocational education management quality evaluation has been given and some comparisons is used to illustrate advantages of cross-entropy method with FNIFSs.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Cited by
2 articles.
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