A quantitative algorithm for extracting generic basis of fuzzy association rules

摘要: Fuzzy association rules (FAR) are well suited for the thinking of human subject and will help to increase flexibility supporting user in making decisions or designing fuzzy systems. The classic extraction associative suffers from a high number generated rules. To overcome this problem, several studies have been developed extract generic subset all These databases particularly suitable dense contexts. contexts highly So it is necessary define basis FAR. In paper, we present new algorithm extracting FAR based on these last. This constitutes compact nucleus which closed itemsets their corresponding minimal generators.