院校毕业学员发展状况与培训质量评估的数学建模研究  

A Mathematical Modeling Study on the Development Status and Training Quality Evaluation of College Graduates

作　　者：许宁 XU Ning(School of Politics,National Defence University of PLA,Shanghai 201602,China)

机构地区：[1]国防大学政治学院,上海201602

出　　处：《常熟理工学院学报》2023年第2期86-95,共10页Journal of Changshu Institute of Technology

基　　金：国防大学资助项目“政治学院毕业学员质量跟踪评估研究”(20GDJ30438C)。

摘　　要：通过分析毕业学员质量及发展状况构成特点,建立了某学院学员质量指标体系,基于AHP-模糊综合评价法构建了学员质量评估模型,结合用人单位实际,实现了对某类毕业学员的质量评估.并在构建毕业学员质量指标和发展状况指标基础上,运用机器学习、马尔可夫随机场和Ising模型,建立两类指标相关联的数学模型.其解给出了两类指标的相关关系,解决了评估过程中部分信息不完全、模糊不确定、质量指标与发展状况关联度不易提取等技术困难.In this paper,by analyzing the characteristics of the quality and development of graduates of a certain college,a quality index system of the graduates is established.Also,a quality evaluation model of the students is built based on AHP-fuzzy synthetic evaluation method.Then,by factoring the actual situation of their related employers,the evaluation of the graduation quality of a certain category of students is realized.On the basis of the construction of the quality index and development status index of the graduates,machine learning is applied,Markov random field and Ising model are used to establish the mathematical model of the correlation of two kinds of indexes,and their solutions give the correlation of the two kinds of indexes.It solves some technical difficulties such as incomplete information,fuzzy uncertainty,the correlation between quality index and development status,etc.

关 键 词：指标体系 层次分析法 模糊综合分析法 机器学习 ISING模型 马尔可夫随机场 

分 类 号：C934[经济管理—管理学] O223[理学—运筹学与控制论]