PARTITION FUZZY DOMAIN WITH MULTI-GNANULARITY REPRESENTATION OF DATA BASING ON HEDGE ALGEBRA APPROACH

Nguyễn Tuấn Anh, Trần Thái Sơn
Author affiliations

Authors

  • Nguyễn Tuấn Anh Đại học Công nghệ thông tin & Truyên thông - Đại học Thái Nguyên
  • Trần Thái Sơn Viện công nghệ thông tin - Viện Hàn lâm khoa học và Công nghệ Việt Nam

DOI:

https://doi.org/10.15625/1813-9663/34/1/10797

Keywords:

Fuzzy association rule, algebra approach, multi-gnanularity, Data mining, membership functions

Abstract

The article presents methods of dividing quantitative attributes into fuzzy domainswith multi-gnanularity representation of data, basing on hedge algebra approach. With this approach,explored association rules will express more information, from general to specic knowledge, thanusing usual single-granularity representation of data. At the same time, as a consequence, the numberof exploring rules will be more, meeting the needs of the user.

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Published

08-08-2018

How to Cite

[1]
N. T. Anh and T. T. Sơn, “PARTITION FUZZY DOMAIN WITH MULTI-GNANULARITY REPRESENTATION OF DATA BASING ON HEDGE ALGEBRA APPROACH”, JCC, vol. 34, no. 1, p. 63–76, Aug. 2018.

Issue

Section

Computer Science

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