{"title":"Application of Multivariate Decision Analysis Algorithms in the Evaluation Index Body Model of Mathematics Teaching Quality","authors":"Huafeng (Jason) Chen","doi":"10.1109/ICVRIS.2019.00044","DOIUrl":null,"url":null,"abstract":"With the rapid development of all kinds of curriculum construction and Reform in Colleges and universities, the teaching mode based on working process has become the main mode of curriculum reform in most colleges and universities. In this paper, a method of building an evaluation index body model of mathematics teaching quality based on multiple decision analysis algorithm is proposed. Through the effective mining of the evaluation index system of teaching quality, the decision tree technology of fuzzy clustering is used to solve the irrationality in the current evaluation of teaching quality. When using the algorithm of multiple decision analysis, the evaluation conclusion is helpful for the evaluation index of mathematics teaching quality to achieve the goal of optimum evaluation. The results show that the evaluation index system and method system of mathematics teaching quality are constructed by using the theory of fuzzy mathematics and statistics, which is of great practical significance for strengthening the management of experiment teaching and promoting the improvement of experiment teaching quality.","PeriodicalId":294342,"journal":{"name":"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRIS.2019.00044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of all kinds of curriculum construction and Reform in Colleges and universities, the teaching mode based on working process has become the main mode of curriculum reform in most colleges and universities. In this paper, a method of building an evaluation index body model of mathematics teaching quality based on multiple decision analysis algorithm is proposed. Through the effective mining of the evaluation index system of teaching quality, the decision tree technology of fuzzy clustering is used to solve the irrationality in the current evaluation of teaching quality. When using the algorithm of multiple decision analysis, the evaluation conclusion is helpful for the evaluation index of mathematics teaching quality to achieve the goal of optimum evaluation. The results show that the evaluation index system and method system of mathematics teaching quality are constructed by using the theory of fuzzy mathematics and statistics, which is of great practical significance for strengthening the management of experiment teaching and promoting the improvement of experiment teaching quality.