摘要
近年来,国家对于高校贫困生的资助工作一直非常重视,而贫困生的困难程度具有复杂性和模糊性,很难实现精准识别。为实现高校对贫困生的精准资助,提高资助育人成效,解决高校贫困生认定指标属性值的多样性、模糊性及缺失性等问题,本文首先构建了一种基于不完备语言犹豫模糊的高校贫困生认定指标体系。然后通过调研数据,建立了不完备语言犹豫模糊决策系统。最后提出了一种高校贫困生认定指标体系的属性约简方法,对高校贫困生认定指标体系进行属性约简,从而获得精简而又科学的认定指标体系。
In recent years,the government has attached great importance to the funding of impoverished students in universities,and the difficulty level of impoverished students is complex and ambiguous,making it difficult to achieve accurate identification.In order to achieve precise funding for impoverished students in universities,improve the effectiveness of funding and education,and solve the problems of diversity,ambiguity,and lack of attribute values in the identification of impoverished students in universities,this article first constructs a system of identification indicators for impoverished students in universities based on incomplete language hesitation and ambiguity.Then,based on research data,an incomplete language hesitation fuzzy decision-making system was established.Finally,a method of attribute reduction for the identification index system of impoverished college students was proposed,which reduces the attributes of the identification index system of impoverished college students to obtain a simplified and scientific identification index system.
作者
杨文斌
邱岚
Yang Wenbin;Qiu Lan(College of Artificial Intelligence,Jiangxi University of Technology,Nanchang,China;College of Information Engineering,Jiangxi University of Technology,Nanchang,China)
出处
《科学技术创新》
2023年第19期177-180,共4页
Scientific and Technological Innovation
基金
2020年江西科技学院人文社科项目“教育公平视域下的高校贫困生资助绩效模糊综合评价研究”(课题编号:RW2015)。
关键词
语言犹豫模糊
属性约简
贫困生认定
指标体系
hesitant fuzzy
attribute reduction
identifying poor college students
index system
