X-μ fuzzy association rule method

Daniel Lewis, Trevor P Martin

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationComputational Intelligence (UKCI), 2013 13th UK Workshop on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages144 - 150
Number of pages6
ISBN (Electronic)978-1-4799-1566-8
ISBN (Print)978-1-4799-1566-8
Publication statusPublished - 2013

Bibliographical note

Available online: http://dx.doi.org/10.1109/UKCI.2013.6651299


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