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Journal of Kunming Metallurgy College ›› 2021, Vol. 37 ›› Issue (5): 94-.DOI: 10.3969/j.issn.1009-0479.2021.05.017

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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

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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