نتایج جستجو برای: in_gamma fuzzy n arysubhypergroups

تعداد نتایج: 1063888  

2013
Xiaobin Guo Dequan Shang

AX B In the paper, a class of fuzzy matrix equations    B where A is an m × n crisp matrix and is an m × p arbitrary LR fuzzy numbers matrix, is investigated. We convert the fuzzy matrix equation into two crisp matrix equations. Then the fuzzy approximate solution of the fuzzy matrix equation is obtained by solving two crisp matrix equations. The existence condition of the strong LR fuzzy s...

2013
Xiaobin Guo Dequan Shang

In paper the fuzzy linear system d x C x A ~ ~ ~   where A and C are crisp matrices and n m  d~ is a LR fuzzy numbers vector, is investigated in detail. We generalize the definition and arithmetic operations of LR fuzzy numbers and convert the dual fuzzy linear system to two crisp systems of linear equations. Then the minimal fuzzy solution of the original fuzzy system is obtained by solving...

2009
N. Thillaigovindan S. Anita Shanthi S. Vijayabalaji

In this paper the concepts of sectional intuitionistic fuzzy continuous mapping, l -intuitionistic fuzzy compact sets and asymptotic intuitionistic fuzzy normal structure are introduced. Schauder type and Baillon and Schoneberg type fixed point theorems are also established in an intuitionistic fuzzy n -normed linear space.

2011
Lucian C. Coroianu Sorin G. Gal Barnabás Bede

In this paper firstly we extend from [0, 1] to an arbitrary compact interval [a, b], the definition of the nonlinear Bernstein operators of max-product kind, B n (f), n ∈ N, by proving that their order of uniform approximation to f is ω1(f, 1/ √ n) and that they preserve the quasi-concavity of f . Since B (M) n (f) generates in a simple way a fuzzy number of the same support [a, b] with f , it ...

2012
Q. H. ZHANG L. H. YANG D. X. Liao

In this paper, we study the existence, asymptotic behavior of the positive solutions of a fuzzy nonlinear difference equation xn+1 = Axn + xn−1 B + xn−1 , n = 0, 1, · · · , where (xn) is a sequence of positive fuzzy number, A,B are positive fuzzy numbers and the initial conditions x−1, x0 are positive fuzzy numbers.

Journal: :Soft Comput. 2011
Davod Khojasteh Salkuyeh

In this paper, we consider the fuzzy Sylvester matrix equation AX + XB = C, where A ∈ Rn×n and B ∈ Rm×m are crisp M-matrices, C is an n×m fuzzy matrix and X is unknown. We first transform this system to an (mn)× (mn) fuzzy system of linear equations. Then we investigate the existence and uniqueness of a fuzzy solution to this system. We use the accelerated overrelaxation method to compute an ap...

2007
Rolly Intan

This paper discusses fuzzification of crisp domains into fuzzy classes providing fuzzy domains. Relationship between two fuzzy domains, Xi and Xj , is represented by a matrix, wij . If Xi and Xj have n and m elements of fuzzy data, respectively, then wij is n × m matrix. Our primary goal in this paper is to generate and provide some formulas for predicting interval probability in the relation t...

H. Khodaei M. Kamyar

Moslehian  and Mirmostafaee, investigated the fuzzystability problems for the Cauchy additive functional equation, the Jensen additivefunctional equation and the cubic functional equation in fuzzyBanach spaces. In this paper, we investigate thegeneralized Hyers–-Ulam--Rassias stability of the generalizedadditive functional equation with $n$--variables, in fuzzy Banachspaces. Also, we will show ...

2013
Lazim Abdullah

There have been many numerical methods for the solution of fuzzy polynomials. However, these methods have their own algorithm that will make it an efficient method to find real root of fuzzy polynomials. In this study, a current review on the solution of fuzzy polynomials in the form of 0 2 2 1 .... A x A x A x A n n     will be presented. Related articles appearing in the international jou...

2014
N. Jayanth Karthik E. Chandrasekaran

In this paper, an x n fully fuzzy linear system à ⊗ x = b where à is a fuzzy matrixx and b are fuzzy vectors with trapezoidal fuzzy numbers is solved by singular value decomposition method. The method is illustrated with numerical examples.

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