研究生计算机类课程教学质量模糊综合评价  

Fuzzy Comprehensive Evaluation of Teaching Quality of Postgraduate Computer Courses

作　　者：孙希霞 祝园园 卞俊伟 周梅[1] SUN Xixia;ZHU Yuanyuan;BIAN Junwei;ZHOU Mei(School of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]南京邮电大学物联网学院,江苏南京210003

出　　处：《软件导刊》2025年第2期181-186,共6页Software Guide

基　　金：国家自然科学基金项目(62071244);江苏省教育科学规划课题(B/2022/01/118).

摘　　要：将研究生计算机类课程教学质量评价归结为模糊多准则群决策问题,提出了一种基于二型模糊集(T2 FSs)的综合评价方法。首先,针对不同评价主体从课程设计、课堂参与及教学方法等5个方面构建评价指标体系;其次,针对评价过程中的不确定性与模糊性使用T2 FSs描述自然语言;最后,利用区间二型模糊加权平均算子集结指标属性值和相应权重,进而使用基于投影的后悔理论方法对评价结果进行排序,并将数据源中的不确定信息集成到最终的评价结果中进行分析,以保证评价结果的精确性和可信性。仿真实验表明,所提方法相较于基于一型模糊集的评价方法能给出更精确、可信的评价结论,证实了该方法的可行性和有效性。A comprehensive evaluation method based on type-2 fuzzy sets(T2 FSs)is proposed to reduce the evaluation of teaching quality in graduate computer courses to a fuzzy multi criteria group decision-making problem.Firstly,an evaluation index system is constructed for different evaluation subjects from five aspects:curriculum design,classroom participation,and teaching methods;Secondly,T2 FSs are used to describe the processing of natural language in response to the uncertainty and ambiguity in the evaluation process;Finally,the interval type-2 fuzzy weighted average operator is used to aggregate the attribute values and corresponding weights of the indicators,and then the projection based regret theory method is used to rank the evaluation results.This integrates the uncertain information in the data source into the final evaluation results for analysis,ensuring the accuracy and credibility of the evaluation results.Simulation experiments show that the proposed method can provide more accurate and reliable evaluation conclusions compared to evaluation methods based on type-1 fuzzy sets,confirming the feasibility and effectiveness of the method.

关 键 词：教学质量评价 多准则群决策 评价指标体系 二型模糊集 模糊加权平均算子 

分 类 号：G434[文化科学—教育学]