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Fuzzy Approximate Solution

Fuzzy approximate solutions of second-order fuzzy linear boundary value problems

Fuzzy approximate solutions of second-order fuzzy linear boundary value problems

... the approximate solution of a class of second-order linear differential ...under fuzzy boundary value conditions ...undetermined fuzzy coefficients method, we convert a second-order linear ...

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The Taylor Method for Numerical Solution of
 Fuzzy Generalized Pantograph Equations with
 Linear Functional Argument

The Taylor Method for Numerical Solution of Fuzzy Generalized Pantograph Equations with Linear Functional Argument

... the fuzzy pantograph equations was discussed.fuzzy approximate solutions were obtained by solving an extended system of generalized pantograph equations with linear functional ...

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Approximate Solution of Fuzzy Matrix Equations with LR Fuzzy Numbers

Approximate Solution of Fuzzy Matrix Equations with LR Fuzzy Numbers

... of fuzzy matrix equations    where A is an m × n crisp matrix and B  is an m × p arbitrary LR fuzzy numbers matrix, is ...the fuzzy matrix equation into two crisp matrix equations. Then the ...

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Approximate Solution of Fuzzy Fractional Differential Equations

Approximate Solution of Fuzzy Fractional Differential Equations

... of fuzzy numbers and fractional derivative and ...about fuzzy initial value problems and FFDE re- ...an approximate solu- tion for FFDE is ...

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A Fuzzy Logic Based Resolution Principal for Approximate Reasoning

A Fuzzy Logic Based Resolution Principal for Approximate Reasoning

... a fuzzy logic based for- malization of an approximate reasoning methodology in a fuzzy resolution, where we derive a truth value of A from both values of B → A and B by some ...t-norm fuzzy ...

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A t Norm Fuzzy Logic for Approximate Reasoning

A t Norm Fuzzy Logic for Approximate Reasoning

... t-norm fuzzy logic is presented, in which a triangular norm (t-norm) plays the role of a graduated conjunction ...this fuzzy logic we de- velop methods for fuzzy reasoning in which antecedents and ...

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Theory of  Complex Fuzzy Soft Set and Its Applications

Theory of Complex Fuzzy Soft Set and Its Applications

... complex fuzzy set that produces an aggregate fuzzy set from a soft complex fuzzy set and its cardinal ...The approximate functions of a soft complex fuzzy set are ...complex ...

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Exploring the use of Type 2 fuzzy sets in multi criteria decision making based on TOPSIS

Exploring the use of Type 2 fuzzy sets in multi criteria decision making based on TOPSIS

... In this paper, a new IT2 variant to TOPSIS has been pro- posed. A series of experiments were carried out by introducing a number of different levels of uncertainty δ, to the T1 MFs associated with linguistic labels used ...

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Fuzzy Pareto optimal Solution to Fully fuzzy Multi Objective Linear Programming Problem

Fuzzy Pareto optimal Solution to Fully fuzzy Multi Objective Linear Programming Problem

... under fuzzy environment was first proposed by Bellman and ...of fuzzy optimization techniques to linear programming problem with single and multi-objective ...the solution approaches of fuzzy ...

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Airfoil gust interaction: historical survey  (In, collected presentations from a workshop on the acoustics of fan gust interaction)

Airfoil gust interaction: historical survey (In, collected presentations from a workshop on the acoustics of fan gust interaction)

... Solution in the form of infinite series • Approximate analytical solution obtained by Filotas 1969 • Solutions reduce to 2D result for θ = π/2 • Mugridge 1971 derived an approximate muli[r] ...

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ON THE SOLUTIONS OF FUZZY FRACTIONAL DIFFERENTIAL EQUATION

ON THE SOLUTIONS OF FUZZY FRACTIONAL DIFFERENTIAL EQUATION

... of fuzzy numbers, appearing in relation (11), are fuzzy ...two fuzzy Mittag- Leffler ...representing fuzzy Mittag- Leffler functions, converge for every t, in the sense of the results in the paper ...

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On the Approximate Solving of Dual Fuzzy Matrix Equations

On the Approximate Solving of Dual Fuzzy Matrix Equations

... of fuzzy num- ...dual fuzzy matrix ...the approximate minimal LR fuzzy solu- tion, which it can be strong or ...LR fuzzy solution for ...

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An efficient computer application of the sinc-Galerkin approximation for nonlinear boundary value problems

An efficient computer application of the sinc-Galerkin approximation for nonlinear boundary value problems

... We start by casting a given linear or nonlinear BVP into a sinc-Galerkin form accurate to the order O(N / e –(πdαN ) / ) []. This discretization yields a set of linear or nonlinear algebraic equations that include ...

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Application of Fuzzy Soft Set in Selection
Decision Making Problem

Application of Fuzzy Soft Set in Selection Decision Making Problem

... A family wants to choose a bride groom among five girls The family give different weight in terms of fuzzy set to the girls according to their gentry, education, beauty, job and elegancy. So the five girls who ...

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A Heuristic Approach for Solving the Fixed Charge Transportation Problems

A Heuristic Approach for Solving the Fixed Charge Transportation Problems

... optimal solution of the RTP matrix, for some of the problems considered in OR library ("OR Library: Testcases for Transportation Problems, Fixed Charge Transportation Benchmark Problems,,") and (Adlakha et ...

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An Approximation of Fuzzy Numbers Based on Polynomial Form Fuzzy Numbers

An Approximation of Fuzzy Numbers Based on Polynomial Form Fuzzy Numbers

... of fuzzy numbers, Fuzzy Sets ...a fuzzy number, Fuzzy Sets ...of fuzzy numbers, Fuzzy Sets ...of fuzzy numbers, Fuzzy Sets ...

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Approximate Solution of the Volterra Random Integral Equations

Approximate Solution of the Volterra Random Integral Equations

... the approximate methods that may be used to solve Volterra random integral equation and same time it can be used to solve linear and non linear random integral ...

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Approximate solution of the fuzzy fractional Bagley-Torvik equation by the RBF collocation method

Approximate solution of the fuzzy fractional Bagley-Torvik equation by the RBF collocation method

... Structural design and analysis plays a vital role for the structural safety. Most of the structures fail due to the poor design. In the design process the system param- eters involved such as mass, geometry, material ...

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A Piecewise Approximate Method for Solving Second Order Fuzzy Differential Equations Under Generalized ‎Differentiability‎

A Piecewise Approximate Method for Solving Second Order Fuzzy Differential Equations Under Generalized ‎Differentiability‎

... in the sense of gH-differentiable, where at the end points of I we consider only the one-sided deriva- tives, and the fuzzy function f : I × R F → R F is sufficiently smooth function. The initial data y 0 , y 0 ′ ...

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Algebraic Equations of Fractional Order Using Fractional Differential Transform Method

Algebraic Equations of Fractional Order Using Fractional Differential Transform Method

... known fuzzy number vector. since the initial value vector is fuzzy then the solution ( ) will be a fuzzy vector solution and therefore ( )will be written as ( )=[ (t), (t)]and to find ...

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