Designing fuzzy logic systems for uncertain environments using a singular-value-QR decomposition method

Nonsingleton fuzzy logic systems (NSFLSs) are generalizations of singleton fuzzy logic systems (FLSs), that are capable of handling set-valued input. In this paper, we extend the theory of NSFLSs by presenting an algorithm to design and train such systems. Since they generalize singleton FLSs, the a...

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Bibliographische Detailangaben

Hauptverfasser:	Mouzouris, G.C., Mendel, J.M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Additive noise Algorithm design and analysis Closed-form solution Design methodology Function approximation Fuzzy logic Fuzzy sets Fuzzy systems Image processing Signal processing
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