[PDF][PDF] A hybrid learning process for the knowledge base of a fuzzy rule-based system
Within the field of linguistic fuzzy modeling with fuzzy rule-based systems, the automatic
derivation of the knowledge base from numerical data is an important task. In this …
derivation of the knowledge base from numerical data is an important task. In this …
Linguistic modeling by hierarchical systems of linguistic rules
In this paper, we propose an approach to design linguistic models which are accurate to a
high degree and may be suitably interpreted. This approach is based on the development of …
high degree and may be suitably interpreted. This approach is based on the development of …
[PDF][PDF] Improving the Wang and Mendel's fuzzy rule learning method by inducing cooperation among rules
Abstract Nowadays, Linguistic Modeling (LM) is considered to be one of the most important
areas of application for Fuzzy Logic. It is accomplished by descriptive Fuzzy Rule-Based …
areas of application for Fuzzy Logic. It is accomplished by descriptive Fuzzy Rule-Based …
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
A method is proposed to automatically learn the knowledge base by finding an appropiate
data base by means of a genetic algorithm while using a simple generation method to derive …
data base by means of a genetic algorithm while using a simple generation method to derive …
A proposal on reasoning methods in fuzzy rule-based classification systems
Fuzzy Rule-Based Systems have been succesfully applied to pattern classification
problems. In this type of classification systems, the classical Fuzzy Reasoning Method (FRM) …
problems. In this type of classification systems, the classical Fuzzy Reasoning Method (FRM) …
A proposal for improving the accuracy of linguistic modeling
We propose accurate linguistic modeling, a methodology to design linguistic models that are
accurate to a high degree and may be suitably interpreted. This approach is based on two …
accurate to a high degree and may be suitably interpreted. This approach is based on two …
Fuzzy rule-based systems
L Magdalena - Springer handbook of computational intelligence, 2015 - Springer
Fuzzy rule-based systems are one of the most important areas of application of fuzzy sets
and fuzzy logic. Constituting an extension of classical rule-based systems, these have been …
and fuzzy logic. Constituting an extension of classical rule-based systems, these have been …
On generating linguistic rules for fuzzy models
XT Peng, P Wang - Uncertainty and Intelligent Systems: 2nd International …, 1988 - Springer
On generating linguistic rules for fuzzy models Page 1 On Generating Linguistic Rules for Fuzzy
Models Xian-Tu Peng, Pei-zhuang Wang Department of Mathematics, Beijing Normal …
Models Xian-Tu Peng, Pei-zhuang Wang Department of Mathematics, Beijing Normal …
An efficient inductive genetic learning algorithm for fuzzy relational rules
Fuzzy modelling research has traditionally focused on certain types of fuzzy rules. However,
the use of alternative rule models could improve the ability of fuzzy systems to represent a …
the use of alternative rule models could improve the ability of fuzzy systems to represent a …
Formation of hierarchical fuzzy rule systems
TR Gabriel, MR Berthold - 22nd International Conference of the …, 2003 - ieeexplore.ieee.org
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to
generate too many rides during the learning process. This is due to data sets obtained from …
generate too many rides during the learning process. This is due to data sets obtained from …