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 :
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