Majid Iranpour - Computer engineering and IT Department Payame Noor University ,Tehran, Iran
Vahid Ghasemi - Department of Computer Engineering, Eslam-Abad-e-Gharb Branch,Islamic Azad University, Eslam-Abad
Mehran Emadi - Department of Electrical Engineering, Mobarakeh Branch,Islamic Azad University, Mobarakeh, Isfahan, Iran

The discovery of generalized fuzzy association rules is a very important data-mining task, because more general andqualitative knowledge can be uncovered for decision making. In this paper, we present an efficient method named cluster-based fuzzyrule mining using genetic algorithm. This method creates cluster-based fuzzy-sets tables by scanning the database once, and thenclustering the transaction records to the k-th cluster table, where the length of a record is k. clustering Based on the information storedin the table, less contrast and database scans are required to calculation association rule. Association rules extract using multi objectivegenetic algorithm.

Association Rule; Metahuristic Algorithm; Clustering, Fuzzy, Data mining