نتایج جستجو برای: generalized fuzzy number

تعداد نتایج: 1391422  

2014
O. A. Tantawy R. N. Majeed

In this paper a new class of fuzzy sets, namely r-(τi, τj)-θ-generalized fuzzy closed sets is introduced for smooth bitopological spaces. This class falls strictly in between the class of r-(τj, τi)fuzzy θ-closed sets and the class of r-(τi, τj)generalized fuzzy closed sets. Furthermore, by using the class of r-(τi, τj)-θgeneralized fuzzy closed sets we establish a new fuzzy closure operator wh...

2010
Yong Deng Peida Xu

In this paper, we present a new fuzzy risk analysis method based on generalized fuzzy numbers. Firstly, we define new arithmetic operations between generalized fuzzy numbers. Then, we propose a new method to measure the degree of similarity between generalized fuzzy numbers. Finally, we apply the new arithmetic operations between generalized fuzzy numbers and proposed similarity measure to deve...

Journal: :international journal of data envelopment analysis 0
mohamad adabitabar firozja department of mathematics, qaemshahr branch, islamic azad university, qaemshahr, iran mohamad adabi firozjaei department of management , babol branch, islamic azad university, babol, iran. mousa eslamian phd student of management, semnan branch, islamic azad universal university, semnan, iran.

in this paper, we consider the production possibility set with n production units such that the following four principles that governs: inclusion observations, conceivability, immensity and convexity. our goal is to estimate the output of a same and new production unit with existing production possibility and amount of input is specified. so, initially we find the interval changes of each input...

Journal: :Journal of Korean Institute of Intelligent Systems 2009

2011
P. Rajarajeswari Rekha Chaturvedi

The purpose of this paper is to introduce and study the concepts of intuitionistic fuzzy weakly generalized closed set and intuitionistic fuzzy weakly generalized open set in intuitionistic fuzzy topological space. We investigate some of their properties. Also we study the application of intuitionistic fuzzy weakly generalized closed set namely intuitionistic fuzzy wT1/2 space and intuitionisti...

2012
P. Rajarajeswari L. Senthil Kumar

This paper is devoted to the study of intuitionistic fuzzy topological spaces. In this paper an intuitionistic fuzzy regular weakly generalized closed set and intuitionistic fuzzy regular weakly generalized open set are introduced. Some of its properties are studied. Also we have provided some applications of intuitionistic fuzzy weakly generalized closed set namely intuitionistic fuzzy rwT1/2 ...

Journal: :journal of linear and topological algebra (jlta) 0
l jamshidi department of mathematics, hamedan branch, islamic azad university, hamedan, iran. t allahviranloo department of mathematics, tehran science and research branch, islamic azad university, tehran , iran.

in this paper, we study rst order linear fuzzy di erential equations with fuzzy coecient and initial value. we use the generalized di erentiability concept and apply the exponent matrix to present the general form of their solutions. finally, one example is given to illustrate our results.

2011
Senthil Kumar

This paper is devoted to the study of intuitionistic fuzzy topological spaces. In this paper an intuitionistic fuzzy generalized pre-closed sets and an intuitionistic fuzzy generalized pre-open sets are introduced. Some of its properties are studied. Also we have provided some applications of intuitionistic fuzzy generalized pre-closed sets namely intuitionistic fuzzy pT1/2 space and intuitioni...

In this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large eld called ne...

Journal: :Journal of Korean Institute of Intelligent Systems 2010

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