DocumentCode
2904733
Title
Extracting association rules based on intuitionistic fuzzy special sets
Author
Pei, Zheng
Author_Institution
Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu
fYear
2008
fDate
1-6 June 2008
Firstpage
873
Lastpage
878
Abstract
Intuitionistic fuzzy special sets is a special case of intuitionistic fuzzy sets. In this paper, under the framework of information systems, based on the intuitionistic fuzzy special sets representation of rough sets, Hamming distance of association rule between condition and conclusion is discussed. By Hamming distance and the confidence of association rule, optimization model for extracting association rule are provided. The advantage of the optimization model is that it could be used to dynamically extract association rule from information systems and distinguish association rules with the same confidence by Hamming distance. Example shows that this paperpsilas method is an alternative method for extracting association rule.
Keywords
data mining; fuzzy set theory; optimisation; rough set theory; Hamming distance; association rules extraction; information systems; intuitionistic fuzzy special sets; optimization model; rough sets; Association rules; Data mining; Databases; Fuzzy sets; Fuzzy systems; Hamming distance; Helium; Humans; Information systems; Rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1098-7584
Print_ISBN
978-1-4244-1818-3
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2008.4630473
Filename
4630473
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