DocumentCode
2004430
Title
X-μ fuzzy association rule method
Author
Lewis, David ; Martin, Trevor P.
Author_Institution
Dept. of Eng. Math., Univ. of Bristol, Bristol, UK
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
144
Lastpage
150
Abstract
Association rule mining theory, and practice, requires the ability to calculate the cardinalities of subsets. In association rule mining on fuzzy sets, this is also the case. However, there are multiple options for calculating cardinalities due to the nature of fuzzy sets. In this paper we introduce the “X-μ Fuzzy Association Rule method” of calculation, a methodology for use within fuzzy association rule mining. This method uses the X-μ representation of fuzzy sets and its respective cardinality calculation, which retains the fuzzy nature of fuzzy set cardinality through the full process of association rule processing.
Keywords
data mining; fuzzy set theory; X-μ fuzzy association rule method; X-μ representation; association rule mining theory; association rule processing; fuzzy association rule mining; fuzzy set cardinality; fuzzy sets; Association rules; Customer satisfaction; Databases; Fuzzy set theory; Fuzzy sets; Hair; Standards;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence (UKCI), 2013 13th UK Workshop on
Conference_Location
Guildford
Print_ISBN
978-1-4799-1566-8
Type
conf
DOI
10.1109/UKCI.2013.6651299
Filename
6651299
Link To Document