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
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
