Title: Research on evaluation of legal risk prevention education quality based on dynamic variable weight analytic hierarchy process
Authors: Jianhua Guo
Addresses: Department of Science of Education, Puyang Vocational and Technical College, Pu'yang, 457000, China
Abstract: In order to solve the problems of low reliability and accuracy in traditional methods, as well as long evaluation time, this article proposes a legal risk prevention education quality evaluation method based on dynamic variable weight analytic hierarchy process. Firstly, design a legal risk prevention education indicator system, which includes multiple indicators such as the legal risk prevention process and legal risk prevention education channels. Use analytic hierarchy process to calculate the weights of the indicators; then, the variable weight theory is used to dynamically modify the indicator weights. Finally, combining the evaluation index weight, evaluation matrix, and dynamic variable weight analytic hierarchy process to construct an education quality evaluation function, relevant evaluation results are obtained. Experimental results show that the highest evaluation reliability of the method proposed in this paper is 0.986, the highest estimation accuracy is 99.6%, and the maximum time consumption is 23 s, which can be achieved.
Keywords: dynamic variable weight; analytic hierarchy process; legal risk prevention education quality; variable weight theory; evaluation matrix; evaluation function.
International Journal of Sustainable Development, 2024 Vol.27 No.1/2, pp.78 - 92
Received: 24 Mar 2023
Accepted: 30 Aug 2023
Published online: 08 Feb 2024 *