[HTML][HTML] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International journal of approximate reasoning, 2011 - Elsevier
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International Journal of Approximate Reasoning, 2011 - dl.acm.org
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

[PDF][PDF] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International Journal of Approximate Reasoning, 2011 - Citeseer
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

[PDF][PDF] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International Journal of Approximate Reasoning, 2011 - academia.edu
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

[引用][C] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O CORDON - International journal of approximate reasoning, 2011 - pascal-francis.inist.fr
A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based
systems: Designing interpretable genetic fuzzy systems CNRS Inist Pascal-Francis CNRS …

[PDF][PDF] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International Journal of Approximate Reasoning, 2011 - core.ac.uk
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International Journal of Approximate Reasoning, 2011 - infona.pl
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

[PDF][PDF] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International Journal of Approximate Reasoning, 2011 - 150.214.190.154
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

[引用][C] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International Journal of Approximate Reasoning, 2011 - cir.nii.ac.jp
A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based
systems: Designing interpretable genetic fuzzy systems | CiNii Research CiNii 国立情報学 …

[PDF][PDF] A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International Journal of Approximate Reasoning, 2011 - researchgate.net
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …