Flexible Takagi-Sugeno fuzzy systems

In the paper, a new class of Takagi-Sugeno fuzzy systems is derived. Various parameters and weights are incorporated into construction of such systems. The approach presented in the paper introduces more flexibility to the structure and design of neuro-fuzzy systems.

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Bibliographic Details
Published inProceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005 Vol. 3; pp. 1764 - 1769 vol. 3
Main Authors Cpalka, K., Rutkowski, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Artificial intelligence
Fuzzy neural networks
Fuzzy sets
Fuzzy systems
Multidimensional systems
Takagi-Sugeno model
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