JOURNAL ARTICLE
Flexible takagi-sugeno fuzzy systems
Krzysztof CpałkaLeszek Rutkowski
Year: 2006 Journal: Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. Vol: 3 Pages: 1764-1769
Abstract
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.
Keywords:
Flexibility (engineering) Computer science Fuzzy control system Fuzzy logic Neuro-fuzzy Class (philosophy) Control engineering Control theory (sociology) Artificial intelligence Mathematics Engineering Control (management)
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58
Cited By
0.33
FWCI (Field Weighted Citation Impact)
14
Refs
0.56
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Is in top 1%
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Citation History
Topics
Fuzzy Logic and Control Systems
Physical Sciences → Computer Science → Artificial Intelligence
Neural Networks and Applications
Physical Sciences → Computer Science → Artificial Intelligence
Rough Sets and Fuzzy Logic
Physical Sciences → Computer Science → Computational Theory and Mathematics
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