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昆明冶金高等专科学校学报 ›› 2021, Vol. 37 ›› Issue (5): 94-.DOI: 10.3969/j.issn.1009-0479.2021.05.017

• 数理科学 • 上一篇    下一篇

犹豫模糊信息约简方法在高校贫困生认定中的应用

朱 丽   

  1. (江西农业大学计算机与信息工程学院,江西南昌330045)
  • 收稿日期:2021-05-24 出版日期:2021-10-31 发布日期:2023-08-30
  • 作者简介:朱 丽(1980-),女,江西萍乡人,讲师,管理学博士,主要从事模糊决策分析研究。
  • 基金资助:
    江西省教育科学“十三五”规划课题:犹豫模糊分析视角下的大学生资助机制研究(19YB039)。

pplication of Hesitant Fuzzy Information Reduction Method in ldentifying Poor College Students

ZHU Li   

  1. (SchoolofComputerandInformationEngineering,JiangxiAgriculturalUniversity,Nanchang330045,China)
  • Received:2021-05-24 Online:2021-10-31 Published:2023-08-30

摘要: 高校贫困生认定过程中,既要考虑学生所在家庭的人均月收入等客观指标,也要考虑学生的思想品德和消费观等主观指标。另外,在认定过程中,可能存在某些指标属性值会有一定的缺失。为了灵活处理认定指标的多样性及不完备性,将语言犹豫模糊分析引入到高校贫困生认定中,建立了不完备语言犹豫模糊混合信息系统。为了构建合理的认定指标体系,选出能够真正反映学生贫困程度的指标,剔除冗余指标,在不完备语言犹豫模糊混合信息系统中,提出了一种基于限制优势关系的属性约简方法,利用分辨矩阵得到贫困认定指标体系的属性约简,获得精简而又科学的认定指标体系,并用实例分析验证了该方法的有效性。

关键词: 贫困生认定, 语言犹豫模糊, 优势关系, 属性约简

Abstract: In the process of identifying pooxr college studenits , not only the objective index such as house-hold per capita monthly income but also the subjective index such as ideological cultivation and consump-tion view of students should be taken into consideraticn during providing poverty assistance to students. Inaddition,in the identification process , some attribute values may be missing. In onder to deal with the di-versity and incompleteness of identification indicators flexibly , linguistic hesitant fuzay analysis is intro-duced into the identification of pooxr ollege students ,and an incomplete lingnistic hes itant fuzay mixedinfommation system is established. In onder to construct a reasonable identification index system,whichcan tnuly reflect the degree of poverty of students,an attribute reduction method based on limited domi-nance relation is proposed in the incomplete lingaistic hesitant furzay hybrid information system.'The reduction of poverty identification index system is obtained by the discemibility matrix.An example is givento illustrate the effectiveness of the method.

Key words: identification of poor students, linguistic hesitant fuzay , doninance relation , attribute reduction

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