Title :
Fuzzy association rules: general model and applications
Author :
Delgado, Miguel ; Marín, Nicolás ; Sánchez, Daniel ; Vila, María-Amparo
Author_Institution :
Dept. of Comput. Sci. & Artificial Intelligence, Univ. of Granada, Spain
fDate :
4/1/2003 12:00:00 AM
Abstract :
The theory of fuzzy sets has been recognized as a suitable tool to model several kinds of patterns that can hold in data. In this paper, we are concerned with the development of a general model to discover association rules among items in a (crisp) set of fuzzy transactions. This general model can be particularized in several ways; each particular instance corresponds to a certain kind of pattern and/or repository of data. We describe some applications of this scheme, paying special attention to the discovery of fuzzy association rules in relational databases.
Keywords :
data mining; fuzzy set theory; knowledge based systems; relational databases; association rule discovery; data mining; fuzzy set theory; fuzzy transactions; quantified sentences; relational databases; Artificial intelligence; Association rules; Computer science; Dairy products; Data mining; Fuzzy set theory; Fuzzy sets; Humans; Pattern recognition; Relational databases;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2003.809896
