A new algorithm for mining fuzzy association rules

Publication Type:
Conference Proceeding
Proceedings of 2004 International Conference on Machine Learning and Cybernetics, 2004, 3 pp. 1635 - 1640
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We introduce a new algorithm for mining the fuzzy association rules by removing redundant fuzzy association (RFA) rules. Firstly, we analyze some properties of fuzzy association rules and give the definition of RFA rules. Secondly, using the degree of implication on fuzzy implication operator, we introduce a new algorithm to mine fuzzy association rules from frequent itemsets. Finally, an example is given to illustrate our idea.
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