The evaluation of the performance of the poor students in colleges based on the fuzzy comprehensive evaluation method

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
L. Qiu, Wenbin Yang, Ting Wang
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引用次数: 0

Abstract

In recent years, China’s colleges have made gratifying achievements in the funding work of poor students, but there are still some problems. In order to improve the accuracy of the funding work, the performance of the poor students in colleges should be evaluated effectively. This paper uses the design idea based on the whole process, and the fuzzy comprehensive evaluation method and the hierarchical analysis method, and constructs the performance evaluation index system of the poor students in colleges. Then, taking the performance evaluation of poor students’ support in Jiangxi University of Technology as an example, according to China’s national conditions, the empirical analysis shows that the poverty students’ support work in Jiangxi University of Technology is at the general level, and can be improved from four aspects: perfecting the mechanism of identifying poor students, broadening the funding channels, perfecting the supervision mechanism of financial aid for poor students, and combining financial aid with mental support. The research of this paper is of great significance to improve the management level of the funding of poor students in colleges and universities.
基于模糊综合评价法的高校贫困生绩效评价
近年来,中国高校在贫困生资助工作方面取得了可喜的成绩,但也存在一些问题。为了提高资助工作的准确性,必须对高校贫困生的表现进行有效的评价。本文采用基于全过程的设计思想,运用模糊综合评价法和层次分析法,构建了高校贫困生绩效评价指标体系。然后,以江西理工大学贫困生支持工作绩效评价为例,根据中国国情,实证分析表明,江西理工大学贫困生支持工作处于一般水平,可以从四个方面进行改进:完善贫困学生识别机制,拓宽资助渠道,完善贫困学生资助监督机制,将经济资助与心理支持相结合。本文的研究对提高高校贫困生资助管理水平具有重要意义。
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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