Evaluation of Training Effect of New-Type Professional Farmer Based on Cloud Model

Abstract

AbstractIn order to make a comprehensive evaluation of the training effect of the new professional farmers from the training organization and management, training time, training cost and other aspects, and make an accurate judgment on the current situation and development direction of the new professional farmers training in China. Based on the cloud model theory, this paper realizes the transformation of qualitative index and quantitative evaluation, and organically combines fuzziness, randomness and discretization. After the characteristic data of the normal cloud generator is obtained by the reverse cloud generator and the information weight method, the normal cloud image is generated, and the training effect is evaluated according to the cloud image. The evaluation based on cloud model not only takes into account the fuzziness and randomness in the evaluation, but also takes into account the scientific nature of the data and the intuitiveness of the evaluation results. To a certain extent, it overcomes the shortcomings of the traditional evaluation methods, such as unstable evaluation conclusions and complex calculation. The evaluation conclusion is helpful for researchers to make an accurate judgment on the current situation and development direction of the training of new professional farmers in China.KeywordsCloud modelForward normal cloud generatorComprehensive evaluationInformation weight methodNormal distribution