Please use this identifier to cite or link to this item:
https://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) |
Files in This Item:
File | Description | Size | Format | |
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_file_ | 6.32 MB | Adobe PDF | View/Open | |
Your IP: 3.147.67.237 |
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