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基于AHP的高校贫困学生精准评定方法
引用本文:孙媛媛,杨明亚,陈俊,刘红兵. 基于AHP的高校贫困学生精准评定方法[J]. 吉首大学学报(自然科学版), 2019, 40(5): 78. DOI: 10.13438/j.cnki.jdzk.2019.05.013
作者姓名:孙媛媛  杨明亚  陈俊  刘红兵
作者单位:安徽新闻出版职业技术学院机电信息系,安徽合肥,230601;安徽新闻出版职业技术学院机电信息系,安徽合肥,230601;安徽新闻出版职业技术学院机电信息系,安徽合肥,230601;安徽新闻出版职业技术学院机电信息系,安徽合肥,230601
基金项目:安徽省自然科学研究重点项目(KJ2019A1220);安徽省质量工程教学研究重点项目(2018JYXM0483)
摘    要:为了公平、公正地开展高校贫困学生资助工作,利用层次分析法(AHP)建立评价指标体系,再用Matlab软件计算判断矩阵的特征值和特征向量.以3位高校贫困生为例,分别建立9组判断矩阵,并计算各矩阵的特征值和特征向量,再计算出指标体系中的权向量,最后评定特征向量最大者为最贫困大学生.

关 键 词:贫困大学生  精准评定  层次分析法

Accurate Assessment of Poverty-Stricken College Students Based on AHP
SUN Yuanyuan,YANG Mingya,CHEN Jun,LIU Hongbing. Accurate Assessment of Poverty-Stricken College Students Based on AHP[J]. Journal of Jishou University(Natural Science Edition), 2019, 40(5): 78. DOI: 10.13438/j.cnki.jdzk.2019.05.013
Authors:SUN Yuanyuan  YANG Mingya  CHEN Jun  LIU Hongbing
Affiliation:(Department of Mechanical and Electrical Information, Anhui Vocational and Technical College of Press and Publishing, Hefei 230601,China)
Abstract:In order to achieve fairness in the aid work for poverty-stricken students in colleges and universities, an assessment index system is established by using analytic hierarchy process (AHP), and the eigenvalues and eigenvectors of the judgment matrix are calculated by using MATLAB software. Taking three poverty-stricken college students as example, nine groups of judgment matrices were established, and the eigenvalues and eigenvectors of each matrix were calculated. Then the weight vectors in the index system were calculated. Finally, the poorest student was identified as having the largest eigenvectors.
Keywords:poverty-stricken college students   accurate assessment   Analytic Hierarchy Process
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