Title :
Extracting association rules based on intuitionistic fuzzy special sets
Author_Institution :
Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu
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;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630473