Fuzzy Linear System
A New and Simple Method of Solving Fully Fuzzy Linear System
... fully fuzzy linear system of the form A ⊗ x b , where A is a n x n fuzzy matrix consisting of positive fuzzy numbers, the unknown vector x is a vector consisting of n positive ...
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Solution of LR fuzzy linear system with trapezoidal fuzzy number using matrix theory
... A linear system of equations is considered the simplest model in solving mathematical ...Therefore, fuzzy theory (Zadeh, 1965) has been employed to the linear system and called a ...
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Alternative Fuzzy Algebra for Fuzzy Linear System Using Cramers Rules on Fuzzy Trapozoidal Number
... Fuzzy linear system has three types, first fuzzy linear system 𝐴𝑥̃ = 𝑏̃ , 𝐴 is a real matrix and 𝑥̃, 𝑏̃ is vektor ...fully fuzzy linear system 𝐴̃𝑥̃ = 𝑏̃, 𝐴̃ ...
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A New Method for Solving Fuzzy Linear System
... a system of n fuzzy linear equations with n ...new system is then solved. The solution vector of fuzzy linear system is always a strong fuzzy ...
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Cholesky Decomposition Method for Solving Fully Fuzzy Linear System of Equations with Trapezoidal Fuzzy Number
... of fuzzy numbers and fuzzy arithmetic were introduced by Zadeh. Fuzzy systems are used to solve fuzzy metric spaces, fuzzy differential equations, fuzzy linear and non ...
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New concepts on the fuzzy linear systems and an application
... on system of fuzzy linear equations or shortly fuzzy linear system whose coefficient matrix is crisp and the right- hand side column is an arbitrary fuzzy number ...a ...
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Approximating solution of fully fuzzy linear systems in dual form
... The rest of paper is organized as follows: In Section 2, we discuss some basic concepts and results on fuzzy numbers and fuzzy linear system. In Section 3, we sug- gest our method to solve ...
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An Approach for Solving Fuzzy Fredholm Integro-Difference Equations with Mixed Argument
... The fuzzy integral equation method is used for solving many problems in mathemati- cal physics and ...to fuzzy integro-difference equations. Taylor approach to solve linear differential, integral and ...
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Algebraic Modification of Trapezoidal Fuzzy Numbers to Complete Fully Fuzzy Linear Equations System Using Gauss-Jacobi Method
... equation system has an important role in solving mathematic problems, one of them is used to solve problems in the operation of fuzzy ...fully fuzzy linear equation system is ...solving ...
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Solving fuzzy linear programming problem for fuzzy fourier motzkin elimination algorithm by trapezoidal fuzzy number
... a fuzzy × linear system whose coefficient matrix is crisp and the right hand side column is an arbitrary fuzzy number ...of fuzzy numbers and replaced the original fuzzy ...
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Fuzzy bivariate Chebyshev method for solving fuzzy Volterra-Fredholm integral equations
... Keywords : F uzzy numbers; F uzzy Volterra-Fredholm integral equation; Fuzzy bivariate Chebyshev.. method; Dual fuzzy linear system; Nonnegative matrix.[r] ...
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Solving fully fuzzy linear programming
... the fuzzy optimal solution of fully fuzzy linear programming (abbreviated to FFLP) ...employ linear programming (LP) with equality constraints to find a non-negative fuzzy number vector ...
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Complex fuzzy linear systems
... In Section 2, the basic concept of fuzzy number operation is brought. In Section 3, the main section of the paper, complex fuzzy linear system (CFLS)is solved. The proposed idea is illustrated ...
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Fourier Motzkin Elimination Algorithm of Hexagonal Fuzzy Number for Solving Fuzzy Linear Programming Problem
... hexagonal fuzzy number solving a Fuzzy LPP using Fourier Motzkin elimination ...the fuzzy linear programming problem into fuzzy linear system of ...converted fuzzy ...
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Fuzzy Regression Model and Its Application: A Review
... construct fuzzy regression models. They had compared a fuzzy regression model and used the least absolute deviation estimators and another fuzzy regression model used the least square ...the ...
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Variational iterative method: an appropriate numerical scheme for solving system of linear Volterra fuzzy integro differential equations
... of linear Volterra fuzzy integro-differential equations; this technique gives a better accuracy of the ...on fuzzy numbers and fuzzy differential ...the linear Volterra fuzzy ...
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Interval type 2 intuitionistic fuzzy logic system for non linear system prediction
... type-2 fuzzy neural network (SEIT2FNN) utilising IT2FS in the antecedents and TSK interval type-1 set in the consequent, TSK-type-based self-evolving compen- satory IT2FNN (TSCIT2FNN) which utilises IT2FS in the ...
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Fuzzy linear conjunctive grammar
... a fuzzy grammar may be viewed as a set of rules for generating the elements of a fuzzy ...a fuzzy grammar, or simply a grammar, is a quadruple G = (V, Σ, P , S) in which V is a finite set of ...
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Implementation of Three Phase Ups System Using Spwm and Fuzzy Logic Controllers for Linear and Non Linear Loads
... a system will be investigated in detail techniques. with linear and non linear loads to evaluate the feasibility of In this paper, output voltage control of a UPS with a zig advanced controller to ...
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Evaluation of the risk of flood in Iskandar Malaysia Region using fuzzy logic and weighted linear combination in Geographic Information System
... and Fuzzy Logic by using Weighted Linear Combination (WLC) can be carried out to create flood susceptibility ...a Fuzzy logic provide basis for categorizing and ranking the ...
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