نتایج جستجو برای: goetschel

تعداد نتایج: 19  

Journal: : 2022

The article "Kabbalah and mysticism" is divided into three parts, in which the general understanding of Kabbalah based on mysticism presented. first devoted to definition mysticism, wanting reflect this: Is one? In order be able answer this question, author gives voice more important scholars Judaism who have dealt with issue or are still dealing it. They clearly characterizing what is, they tr...

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: :Universidad, ciencia y tecnología 2021

Con el repaso de la normativa legal del género en Ecuador, este trabajo muestra su estado actual y los avances desde una progresión teórica práctica para construir un modelo sociedad que tenga sus cimientos filosofía buen vivir. A través metodología cualitativa, método documental se analizaron 13 instrumentos legales 4 planes proyectos estatales. Los resultados dan cuenta a pesar importantes le...

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

Keywords--Fuzzy numbers, Convexity, Preinvexity, Generalized convexity, Fuzzy mappings. 1. I N T R O D U C T I O N Let R n deno te t he n -d imens iona l Euc l idean space. T h e suppor t , supp (p), of a fuzzy set # : R n ~ I = [0, 1] is def ined as s u p p ( # ) = { x e R n ] # ( x ) > 0} . A fuzzy set # : R n ~ I is cal led fuzzy convex if i t is quas i concave in c o m m o n sense on its su...

2011
Witold Kosinski Katarzyna Wegrzyn-Wolska

Ordered fuzzy numbers as generalization of convex fuzzy numbers are defined together with four algebraic operations. For defuzzification operators, that play the main role when dealing with fuzzy controllers and fuzzy inference systems, new representation formulae are given. Step ordered fuzzy numbers are considered. Approximation method based on forward neural networks is presented for determi...

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