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HEDGES ALGEBRAS AND PROBLEM FUZZY PARTITION FOR QUALITATIVE ATTRIBUTES

Nguyễn Tuấn Anh, Trần Thái Sơn

Abstract


The pager refers to the construction of sets of the membership functions (MFs), which partition quantitative attributes in database into optimal fuzzy domains for extracting fuzzy association rules in the direction of hedge algebras approach. Some advantages of this method is demonstrated through the analysis of experiments on one set of standard data.

Keywords. Data mining; fuzzy association rules; genetic algorithms; membership functions; Hedge
algebras


Keywords


Data mining; fuzzy association rules; genetic algorithms; membership functions; Hedge algebras

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Journal of Computer Science and Cybernetics ISSN: 1813-9663

Published by Vietnam Academy of Science and Technology