Apr 20, 2005 · Ensembles are formed by combining several classifiers generated by evolutionary techniques, while co-evolution is often used for evolving rule ...
Articles include new developments and techniques for the learning and evolution of fuzzy classification systems and hierarchical fuzzy models. This paper ...
Abstract: An overview of the application of evolutionary computation to fuzzy knowledge discovery is presented. This is set in one of two contexts: ...
An overview of the application of evolutionary computation to fuzzy knowledge discovery is presented, set in one of two contexts: overcoming the knowledge ...
The simplest strategy runs an evolutionary algorithm once, while the iterative rule learning approach runs several evolutionary algorithms in succession, with ...
The simplest strategy runs an evolutionary algorithm once, while the iterative rule learning approach runs several evolutionary algorithms in succession, with ...
The OCFU algorithm is used to determine the structure of the fuzzy system and build a flexible partition of fuzzy sets in each input variable. The FC-SLPSO ...
Fingerprint. Dive into the research topics of 'Evolutionary approaches to fuzzy modelling for classification'. Together they form a unique fingerprint.
People also ask
What are the classification of evolutionary algorithms?
What is the evolutionary algorithm approach?
We propose a novel fuzzy-classification-assisted selection (FCAS) strategy to boost evolutionary optimization in this paper.
In this paper, we also address the design of fuzzy systems from data. A new evolutionary approach is proposed for deriving a compact fuzzy classification ...