Implication-Based Support Measures for Fuzzy Association Rules

Several approaches generalizing association rules to fuzzy association rules have been proposed, so far. The quality measures have also been generalized. Such a measure is based on the so-called S-implicator. In this paper we point out some other implicators which can substitute the S-implicator in order to define new support measures which evaluate the quality of a fuzzy association rule, taking into consideration the non-contradicting rule examples (non-negative examples), while the classical measures use only positive examples.