Genetic fuzzy systems

Known as: Genetic fuzzy system 
Genetic fuzzy systems are fuzzy systems constructed by using genetic algorithms or genetic programming, which mimic the process of natural evolution… (More)
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Linguistic fuzzy modeling in high-dimensional regression problems poses the challenge of exponential-rule explosion when the… (More)
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Highly Cited
2010
Highly Cited
2010
In this paper, a multiobjective genetic fuzzy system (GFS) to learn the granularities of fuzzy partitions, tuning the membership… (More)
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Highly Cited
2010
Highly Cited
2010
Stock market prediction is regarded as a challenging task in financial time-series forecasting. The central idea to successful… (More)
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Highly Cited
2009
Highly Cited
2009
Genetic fuzzy systems (GFS) are based on the use of genetic algorithms for designing fuzzy systems, and for providing them with… (More)
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Review
2008
Review
2008
The use of genetic algorithms for designing fuzzy systems provides them with the learning and adaptation capabilities and is… (More)
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Highly Cited
2007
Highly Cited
2007
The issue of finding fuzzy models with an interpretability as good as possible without decreasing the accuracy is one of the main… (More)
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Review
2005
Review
2005
Fuzzy Systems have shown their utility for solving a wide range of problems in different application domains. The use of Genetic… (More)
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2004
2004
In this paper a coevolutionary genetic approach is devised to support hierarchical, collaborative relations between individuals… (More)
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Highly Cited
2001
Highly Cited
2001
It's not surprisingly when entering this site to get the book. One of the popular books now is the genetic fuzzy systems… (More)
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1998
1998
This special issue encompasses eight papers devoted to genetic fuzzy systems. All of them are revised and expanded versions of… (More)
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