A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers-Reference-Cited by-同舟云学术

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A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers

Published:2016-01 Issue: Volume:38 Page:118-133
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Rudziński Filip

Publisher

Elsevier BV

Subject

Software

Reference94 articles.

1. A dynamically constrained multiobjective genetic fuzzy system for regression problems;Pulkkinen;IEEE Trans. Fuzzy Syst.,2010

2. Integration of an index to preserve the semantic interpretability in the multiobjective evolutionary rule selection and tuning of linguistic fuzzy systems;Gacto;IEEE Trans. Fuzzy Syst.,2010

3. Interpretability of linguistic fuzzy rule-based systems: an overview of interpretability measures;Gacto;Inf. Sci.,2011

4. Interpretability constraints for fuzzy information granulation;Mencar;Inf. Sci.,2008

5. Semantic constraints for membership function optimization;de Oliveira;IEEE Trans. Syst. Man Cybern. (A),1999

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