A new algorithm for mining fuzzy association rules
Ya Gao, Jun Ma, Lin Ma · 2005
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.