Application of Multivariate Decision Analysis Algorithms in the Evaluation Index Body Model of Mathematics Teaching Quality

Huafeng (Jason) Chen
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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.
多元决策分析算法在数学教学质量评价指标体模型中的应用
随着高校各类课程建设与改革的快速发展,基于工作过程的教学模式已成为大多数高校课程改革的主要模式。本文提出了一种基于多元决策分析算法的数学教学质量评价指标体模型的构建方法。通过对教学质量评价指标体系的有效挖掘,利用模糊聚类的决策树技术解决当前教学质量评价中的不合理性。在运用多元决策分析算法时,评价结论有助于数学教学质量评价指标达到最优评价的目的。结果表明,运用模糊数学和统计学理论构建了数学教学质量评价指标体系和方法体系,对加强实验教学管理,促进实验教学质量的提高具有重要的现实意义。
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