PARTITION FUZZY DOMAIN WITH MULTI-GNANULARITY REPRESENTATION OF DATA BASING ON HEDGE ALGEBRA APPROACH
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DOI:
https://doi.org/10.15625/1813-9663/34/1/10797Keywords:
Fuzzy association rule, algebra approach, multi-gnanularity, Data mining, membership functionsAbstract
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.Metrics
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