Shengjie Li, Chaosheng Tang*
Journal on Artificial Intelligence, Vol.3, No.2, pp. 55-62, 2021, DOI:10.32604/jai.2021.017408
- 08 May 2021
Abstract On the basis of studying the influencing factors of training effect
evaluation, this paper constructs an AHP-fuzzy comprehensive evaluation model
for farmers’ vocational training activities in Hainan Province to evaluate farmers’
training effect, which overcomes the limitations of traditional methods. Firstly, the
content and index system of farmer training effect evaluation are established by
analytic hierarchy process, and the weight value of each index is determined. Then,
the fuzzy comprehensive evaluation (FCE) of farmer training effect is carried out
by using multi-level FCE. The joint use of AHP and FCE improves the reliability
and effectiveness More >
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