Enhanced Fuzzy System Models With Improved Fuzzy Clustering Algorithm

Although traditional fuzzy models have proven to have high capacity of approximating the real-world systems, they have some challenges, such as computational complexity, optimization problems, subjectivity, etc. In order to solve some of these problems, this paper proposes a new fuzzy system modelin...

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Vydané v:	IEEE transactions on fuzzy systems Ročník 16; číslo 3; s. 779 - 794
Hlavní autori:	Celikyilmaz, A., Burhan Turksen, I.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2008 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Clustering Clustering algorithms Computational complexity Engines Fuzzy Fuzzy functions (FFs) Fuzzy logic Fuzzy set theory fuzzy system modeling (FSM) Fuzzy systems improved fuzzy clustering (IFC) Inference algorithms inference mechanisms Input variables Least squares approximation Mathematical analysis Mathematical models Parameter estimation Partitioning algorithms Studies Yield estimation
ISSN:	1063-6706, 1941-0034
On-line prístup:	Získať plný text
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