A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning

Alcalá-Fdez, Jesús; Herrera, Francisco; Alcalá, Rafael

doi:10.1109/TFUZZ.2011.2147794

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A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning

Author(s): Jesús Alcala-Fdez , Rafael Alcala , Francisco Herrera

Publication date (Print): October 2011

Journal: IEEE Transactions on Fuzzy Systems

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Frank Wilcoxon (1945)

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A 2-tuple fuzzy linguistic representation model for computing with words

L. Martínez, F Herrera (2000)

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A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization

Salvador García-García, Daniel-Ricardo Molina, Manuel Lozano … (2009)

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Author and article information

Journal

Title: IEEE Transactions on Fuzzy Systems

Abbreviated Title: IEEE Trans. Fuzzy Syst.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1063-6706

Publication date Created: October 2011

Publication date (Print): October 2011

Volume: 19

Issue: 5

Pages: 857-872

Article

DOI: 10.1109/TFUZZ.2011.2147794

SO-VID: 44cf7770-7417-4f05-a7f3-0938a62e2dba

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A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning

Read this article at

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Recursive Rule based Visual Categorization

Most cited references 53

Individual Comparisons by Ranking Methods

A 2-tuple fuzzy linguistic representation model for computing with words

A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization

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