Interest Measures for Fuzzy Association Rules Based on Expectations of Independence

Lift, leverage, and conviction are three of the best commonly known interest measures for crisp association rules. All of them are based on a comparison of observed support and the support that is expected if the antecedent and consequent part of the rule were stochastically independent. The aim of...

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Main Author:	Michal Burda
Format:	Article
Language:	English
Published:	Hindawi Limited 2014-01-01
Series:	Advances in Fuzzy Systems
Online Access:	http://dx.doi.org/10.1155/2014/197876

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spelling	doaj-ccb50d1dc9854bad9dfe2dae9a4c3af02020-11-24T21:29:08ZengHindawi LimitedAdvances in Fuzzy Systems1687-71011687-711X2014-01-01201410.1155/2014/197876197876Interest Measures for Fuzzy Association Rules Based on Expectations of IndependenceMichal Burda0Institute for Research and Applications of Fuzzy Modeling, Centre of Excellence IT4Innovations, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech RepublicLift, leverage, and conviction are three of the best commonly known interest measures for crisp association rules. All of them are based on a comparison of observed support and the support that is expected if the antecedent and consequent part of the rule were stochastically independent. The aim of this paper is to provide a correct definition of lift, leverage, and conviction measures for fuzzy association rules and to study some of their interesting mathematical properties.http://dx.doi.org/10.1155/2014/197876
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Michal Burda
spellingShingle	Michal Burda Interest Measures for Fuzzy Association Rules Based on Expectations of Independence Advances in Fuzzy Systems
author_facet	Michal Burda
author_sort	Michal Burda
title	Interest Measures for Fuzzy Association Rules Based on Expectations of Independence
title_short	Interest Measures for Fuzzy Association Rules Based on Expectations of Independence
title_full	Interest Measures for Fuzzy Association Rules Based on Expectations of Independence
title_fullStr	Interest Measures for Fuzzy Association Rules Based on Expectations of Independence
title_full_unstemmed	Interest Measures for Fuzzy Association Rules Based on Expectations of Independence
title_sort	interest measures for fuzzy association rules based on expectations of independence
publisher	Hindawi Limited
series	Advances in Fuzzy Systems
issn	1687-7101 1687-711X
publishDate	2014-01-01
description	Lift, leverage, and conviction are three of the best commonly known interest measures for crisp association rules. All of them are based on a comparison of observed support and the support that is expected if the antecedent and consequent part of the rule were stochastically independent. The aim of this paper is to provide a correct definition of lift, leverage, and conviction measures for fuzzy association rules and to study some of their interesting mathematical properties.
url	http://dx.doi.org/10.1155/2014/197876
work_keys_str_mv	AT michalburda interestmeasuresforfuzzyassociationrulesbasedonexpectationsofindependence
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Interest Measures for Fuzzy Association Rules Based on Expectations of Independence

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