Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection

2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS) ◽

10.1109/gefs.2010.5454155 ◽

2010 ◽

Cited By ~ 5

Author(s):

A. Fernandez ◽

M. J. del Jesus ◽

F. Herrera

Keyword(s):

Fuzzy Rule ◽

Classification Systems ◽

Rule Based ◽

Rule Selection

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Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets

International Journal of Approximate Reasoning ◽

10.1016/j.ijar.2008.11.004 ◽

2009 ◽

Vol 50 (3) ◽

pp. 561-577 ◽

Cited By ~ 119

Author(s):

Alberto Fernández ◽

María José del Jesus ◽

Francisco Herrera

Keyword(s):

Imbalanced Data ◽

Fuzzy Rule ◽

Classification Systems ◽

Data Sets ◽

Rule Based ◽

Imbalanced Data Sets ◽

Rule Selection ◽

Selection For

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Input selection in fuzzy rule-based classification systems

Proceedings of 6th International Fuzzy Systems Conference ◽

10.1109/fuzzy.1997.619758 ◽

2002 ◽

Cited By ~ 16

Author(s):

T. Nakashima ◽

T. Morisawa ◽

H. Ishibuchi

Keyword(s):

Fuzzy Rule ◽

Classification Systems ◽

Rule Based ◽

Input Selection

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A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-27774-3_7 ◽

2004 ◽

pp. 60-69

Author(s):

Tomoharu Nakashima ◽

Hisao Ishibuchi ◽

Andrzej Bargiela

Keyword(s):

Fuzzy Rule ◽

Classification Systems ◽

Rule Based

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Genetic Learning Analysis of Fuzzy Rule-Based Classification Systems Considering Data Reduction

Intelligent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61380-8_18 ◽

2020 ◽

pp. 259-271

Author(s):

Allen Hichard Marques dos Santos ◽

Matheus Giovanni Pires ◽

Fabiana Cristina Bertoni

Keyword(s):

Data Reduction ◽

Fuzzy Rule ◽

Classification Systems ◽

Rule Based ◽

Learning Analysis

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An Alternative to Power Measure for Fuzzy Rule-Based Classification Systems

Intelligent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61380-8_16 ◽

2020 ◽

pp. 231-244

Author(s):

Frederico B. Tiggemann ◽

Bryan G. Pernambuco ◽

Giancarlo Lucca ◽

Eduardo N. Borges ◽

Helida Santos ◽

...

Keyword(s):

Fuzzy Rule ◽

Classification Systems ◽

Rule Based ◽

Power Measure

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Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods

International Journal of Intelligent Systems ◽

10.1002/(sici)1098-111x(199810/11)13:10/11<1025::aid-int9>3.0.co;2-n ◽

1998 ◽

Vol 13 (10-11) ◽

pp. 1025-1053 ◽

Cited By ~ 55

Author(s):

Oscar Cord�n ◽

Mar�a Jos� del Jesus ◽

Francisco Herrera

Keyword(s):

Fuzzy Rule ◽

Fuzzy Reasoning ◽

Classification Systems ◽

Rule Based

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Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning

Computational Intelligence for Knowledge-Based Systems Design - Lecture Notes in Computer Science ◽

10.1007/978-3-642-14049-5_10 ◽

2010 ◽

pp. 89-98 ◽

Cited By ~ 23

Author(s):

Alberto Fernández ◽

Mara José del Jesus ◽

Francisco Herrera

Keyword(s):

Imbalanced Data ◽

Fuzzy Rule ◽

Classification Systems ◽

Data Sets ◽

Rule Based ◽

Imbalanced Data Sets ◽

Pairwise Learning

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Study on equality conditions of fuzzy rule-based classification systems to radial basis functions, SVM and nearest neighbor classifiers

Journal of Intelligent & Fuzzy Systems ◽

10.3233/ifs-141159 ◽

2014 ◽

Vol 27 (4) ◽

pp. 1923-1934

Author(s):

M. Taheri ◽

M.Z. Jahromi

Keyword(s):

Radial Basis Functions ◽

Nearest Neighbor ◽

Fuzzy Rule ◽

Basis Functions ◽

Classification Systems ◽

Rule Based ◽

Radial Basis ◽

Nearest Neighbor Classifiers

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Fuzzy partition and input selection by genetic algorithms for designing fuzzy rule-based classification systems

Lecture Notes in Computer Science - Evolutionary Programming VII ◽

10.1007/bfb0040793 ◽

1998 ◽

pp. 407-416 ◽

Cited By ~ 4

Author(s):

Tadahiko Murata ◽

Hisao Ishibuchi ◽

Tomoharu Nakashima ◽

Mitsuo Gen

Keyword(s):

Genetic Algorithms ◽

Fuzzy Rule ◽

Classification Systems ◽

Rule Based ◽

Input Selection ◽

Fuzzy Partition

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Performance evaluation of fuzzy rule-based classification systems obtained by multi-objective genetic algorithms

Computers & Industrial Engineering ◽

10.1016/s0360-8352(98)00162-4 ◽

1998 ◽

Vol 35 (3-4) ◽

pp. 575-578 ◽

Cited By ~ 16

Author(s):

Hisao Ishibuchi ◽

Tadahiko Murata ◽

Mitsuo Gen

Keyword(s):

Genetic Algorithms ◽

Performance Evaluation ◽

Fuzzy Rule ◽

Classification Systems ◽

Rule Based ◽

Multi Objective

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