@Article{jai.2021.017408,
AUTHOR = {Shengjie Li, Chaosheng Tang},
TITLE = {Evaluation Model of Farmer Training Effect Based on AHP–A Case Study of  Hainan Province},
JOURNAL = {Journal on Artificial Intelligence},
VOLUME = {3},
YEAR = {2021},
NUMBER = {2},
PAGES = {55--62},
URL = {http://www.techscience.com/jai/v3n2/42530},
ISSN = {2579-003X},
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 of the evaluation process and results. The overall comprehensive 
evaluation result of the farmer training effect evaluation is “good”.},
DOI = {10.32604/jai.2021.017408}
}