Please use this identifier to cite or link to this item: http://dspace.ctu.edu.vn/jspui/handle/123456789/10548
Title: Partition fuzzy domain with multi-granularity representation of data based on hedge algebra approach
Authors: Tran, Thai Son
Nguyen, Tuan Anh
Keywords: Fuzzy association rule
Algebra approach
Multi-granularity
Data mining
Membership functions
Issue Date: 2018
Series/Report no.: Journal of Computer Science and Cybernetics;Vol.34(01) .- P.63–75
Abstract: This paper presents methods of dividing quantitative attributes into fuzzy domains with multi-granularity representation of data based on hedge algebra approach. According to this approach, more information is expressed from general to specific knowledge by explored association rules. As a result, this method brings a better response than the one using usual single-granularity representation of data. Furthermore, it meets the demand of the authors as the number of exploring rules is higher.
URI: http://dspace.ctu.edu.vn/jspui/handle/123456789/10548
ISSN: 1813-9663
Appears in Collections:Tin học và Điều khiển học (Journal of Computer Science and Cybernetics)

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