نتایج جستجو برای: fuzzy r

تعداد نتایج: 534385  

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2011
Seok-Jong Lee Jin Tae Kim

In this paper, we introduce the notion of fuzzy (r, s)-S1-pre-semicontinuous mappings on intuitionistic fuzzy topological spaces in Šostak’s sense, which is a generalization of S1-pre-semicontinuous mappings by Shi-Zhong Bai. The relationship between fuzzy (r, s)-pre-semicontinuous mapping and fuzzy (r, s)-S1-pre-semicontinuous mapping is discussed. The characterizations for the fuzzy (r, s)-S1...

Journal: :Journal of Korean Institute of Intelligent Systems 2010

Journal: :Communications of the Korean Mathematical Society 2012

Journal: :International Journal of Fuzzy Logic and Intelligent Systems 2006

Journal: :Int. J. Math. Mathematical Sciences 2004
S. E. Abbas

We introduce r -fuzzy strongly preopen and r -fuzzy strongly preclosed sets in fuzzy topological space in view of the definition of Šostak (1985). We investigate some properties of them. Moreover, the concepts of fuzzy SP-continuous, fuzzy SP-irresolute continuous, fuzzy SP-irresolute open (closed) mappings, and a fuzzy SP-irresolute homeomorphism are introduced and studied. Some of their chara...

Journal: :IJALR 2010
Yu-Ru Syau E. Stanley Lee

In this paper, the relationships between semicontinuity and preinvexity of fuzzy mappings are investigated. The concepts of intermediate-point preinvex fuzzy mappings and weakly preinvex fuzzy mappings are first introduced, and the authors establish a characterization for a weakly preinvex fuzzy mapping in terms of its epigraph. In this context, a characterization of a preinvex fuzzy mapping in...

Journal: :Computers & Mathematics with Applications 2006
Yu-Ru Syau E. Stanley Lee

g e y w o r d s F u z z y numbers, Convexity, Continuity, Convex fuzzy mappings, Linear ordering, Fuzzy Weirstrass theorem, Fuzzy optimization. 1. I N T R O D U C T I O N Let R n denote the n-dimensional Eucl idean space. The suppor t , supp(#) , of a fuzzy set # : R ~ I = [0, 1] is defined as supp(/~) = {x • R n I #(x) > 0}. A fuzzy set # : R n --~ I is called fuzzy convex if #(Ax + (1 A)y) _>...

Journal: :Journal of Korean Institute of Intelligent Systems 2008

Journal: :International Journal of Fuzzy Logic and Intelligent Systems 2009

Journal: :Journal of Korean Institute of Intelligent Systems 2009

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