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Typ záznamu:	stať ve sborníku (D)
Domácí pracoviště:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Název:	Approximation of Fuzzy Functions by Extended Fuzzy Transforms
Citace	Štěpnička, M. a Lehmke, S. Approximation of Fuzzy Functions by Extended Fuzzy Transforms. In: Fuzzy Days: Computational Intelligence, Theory and Applications (Advances in Soft Computing) 2004 Dortmund. Berlin, Heidelberg, New York: Springer - Verlag, 2005. Springer - Verlag, 2005. s. 187-195. ISBN 3-540-22807-1.

Podnázev
Rok vydání:	2005
Obor:	Obecná matematika
Počet stran:	9
Strana od:	187
Strana do:	195
Forma vydání:
Kód ISBN:	3-540-22807-1
Kód ISSN:
Název sborníku:	Computational Intelligence, Theory and Applications (Advances in Soft Computing)
Sborník:	Mezinárodní
Název nakladatele:	Springer - Verlag
Místo vydání:	Berlin, Heidelberg, New York
Stát vydání:
Název konference:	Fuzzy Days
Místo konání konference:	Dortmund
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků akce:	Celosvětová akce
Kód UT WoS:	000235172500016
EID:

Klíčová slova anglicky:	Fuzzy sets; Approximation; Fuzzy approximation; Fuzzy transforms; Normal forms; Fuzzy control
Popis v původním jazyce:	A fuzzy approximation method called fuzzy transforms for approximation of continuous function is presented in this paper. It is shown how can be fuzzy transforms naturally generalized for functions with more variables. A fuzzy function as an approximated mapping is considered. This leads to an extension of fuzzy transforms for fuzzy function as well as to an extension of generalized fuzzy transforms for fuzzy functions with more variables. It is shown how the proposed method can be used as so called learning to obtain a fuzzy rule base for fuzzy control.
Popis v anglickém jazyce:	A fuzzy approximation method called fuzzy transforms for approximation of continuous function is presented in this paper. It is shown how can be fuzzy transforms naturally generalized for functions with more variables. A fuzzy function as an approximated mapping is considered. This leads to an extension of fuzzy transforms for fuzzy function as well as to an extension of generalized fuzzy transforms for fuzzy functions with more variables. It is shown how the proposed method can be used as so called learning to obtain a fuzzy rule base for fuzzy control.

Seznam ohlasů

Ohlas

R01:	RIV/61988987:17610/05:A10009X6

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