Interest Measures for Fuzzy Association Rules Based on Expectations of Independence

Author

Burda, Michal

Source

Advances in Fuzzy Systems

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-10-07

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Burda, Michal. 2014. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1015329

Modern Language Association (MLA)

Burda, Michal. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1015329

American Medical Association (AMA)

Burda, Michal. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1015329

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1015329