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Nguyễn Tuấn Anh, Trần Thái Sơn


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.


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

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Journal of Computer Science and Cybernetics ISSN: 1813-9663

Published by Vietnam Academy of Science and Technology