Title :
Modifying fuzzy association rules with linguistic hedges
Author :
Wei, Qiang ; Chen, Guoqing ; Wets, Geert
Author_Institution :
Sch. of Econ. & Manage., Tsinghua Univ., Beijing, China
Abstract :
We introduce linguistic hedges in data mining, especially in association rule mining, based on our recent work on fuzzy taxonomic structures where fuzzy rules like “expensive cosmetics ⇒ tropical fruits” can be dealt with. In order to express the decision knowledge more naturally, the notion of fuzzy association rules with linguistic hedges is presented such as “very expensive goods ⇒ sort of fruit”. Furthermore, a method of mining all possible fuzzy association rules with a particular pool of linguistic hedges is discussed
Keywords :
data mining; fuzzy logic; very large databases; data mining; decision knowledge; fuzzy association rule modification; fuzzy taxonomic structures; large databases; linguistic hedges; Association rules; Data mining; Fuzzy sets; Humans; Information processing; Itemsets; Knowledge management;
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
DOI :
10.1109/NAFIPS.2000.877460