Fuzzy Linear Systems
SsT decomposition method for solving fully fuzzy linear systems
... fully fuzzy linear systems and later he introduced the another concept An Implicit partial pivoting Gauss Elimination Algorithm for linear system of equations with fuzzy ...
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Type 2 fuzzy linear systems
... Abstract Fuzzy Linear Systems (FLSs) are used in practical situations where some of the systems parameters or variables are ...Type-1 Fuzzy Sets ...certain linear equations ...
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New concepts on the fuzzy linear systems and an application
... n fuzzy linear system into 2n × 2n crisp linear system by using embedding method ...a fuzzy number vector, then the solution is called strong solution, if it is not, then it is called weak ...
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Solving Fully Fuzzy Linear Systems with Trapezoidal Fuzzy Number Matrices by Partitioning the Block Matrices
... A linear system is called a fully fuzzy linear system (FFLS) if all coefficients in the system are all fuzzy ...solving fuzzy linear systems have been introduced by many ...
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Defuzzification method for solving fuzzy linear systems
... arbitrary fuzzy number vector was rst proposed by Friedman et ...duality fuzzy linear systems in ...original fuzzy linear system with 2n 2n crisp linear ...
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Solving Fully Fuzzy Linear Systems with Trapezoidal Fuzzy Number Matrices by Singular Value Decomposition
... economics. Fuzzy linear system whose coefficient matrix is crisp and right hand side column is an arbitrary fuzzy number was first proposed by Friedman et al ...solving fuzzy linear ...
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Complex fuzzy linear systems
... complex fuzzy linear system and discussed the numerical method for solving ...two fuzzy linear systems and the proposed method in [9] is used for solving them and we showed that the ...
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The embedding method to obtain the solution of fuzzy linear systems
... of linear equation play a major role in various areas of science, can be solved by solv- ing a system of linear ...the systems are parametric and measurements are vague or imprecise, are represented ...
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Approximating solution of fully fuzzy linear systems in dual form
... near systems of equations, are used for solving many problems in various areas of applied sci- ...ences. Fuzzy methods constitute an important math- ematical and computational tool for modeling real- world ...
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Approximate Solution of Fuzzy Matrix Equations with LR Fuzzy Numbers
... n fuzzy linear systems whose coeffi- cients matrix is crisp and the right-hand side is a fuzzy number vector in 1998, many works have been done about how to deal with some advanced ...
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Solving fuzzy linear programming problem for fuzzy fourier motzkin elimination algorithm by trapezoidal fuzzy number
... in fuzzy linear systems is described in section 3 and also Fourier Motzkin elimination algorithm for solving fuzzy linear system is ...
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EXTENSION OF MODEL FOLLOWING TECHNIQUES TO SLIDING MODE FUZZY CONTROL FOR NON LINEAR SYSTEMS
... of fuzzy logic based ...between fuzzy logic control and sliding mode control and have utilized it to design fuzzy controllers based on sliding mode theory for a class of non-linear ...mode ...
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(λ,μ) Fuzzy linear subspaces
... of fuzzy sets was first introduced by Zadeh [] in , and then the fuzzy sets have been used in the reconsideration of classical ...of fuzzy subgroup with thresholds. A fuzzy subgroup with ...
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The Time Optimal Problems for Controlled Fuzzy R Solutions
... ization, Vol. 2, “The Partial Averaging of Differential Inclusions with Fuzzy Right-Hand Side,” Journal Advanced Research in Dynamical & Control Systems, Institute of Advanced Scientific Research, USA, ...
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Fuzzy Regression Model and Its Application: A Review
... ABSTRACT: Fuzzy regression model has been widely used in recent years throughout the ...of fuzzy regression model for better estimation and ...situation fuzzy regression gives better results as ...
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Bounded solutions for fuzzy integral equations
... for fuzzy mappings, an important tool for showing existence and uniqueness of solutions to fuzzy differential and integral equations, have recently been proved by various authors, see [1, 4, 13, 14, 15, 16, ...
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Hybrid Analytic Hierarchy Process Fuzzy Linear Programming Approach for Weapon Systems Screening
... weapon systems requires a multiple criteria decision analysis ...weapon systems having multi-level and multi-factor ...weapon systems projects [5] and an AHP approach based on linguistic variable ...
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Vol 7, No 2 (2016)
... of fuzzy 2-bounded linear operator on a fuzzy 2-normed linear space to another fuzzy 2-normed linear space and two types of (strong and weak) fuzzy 2-bounded linear ...
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Error Estimation Using Fuzzy Linear Regression Analysis
... the fuzzy output, 2 , i= 1,2,…,n is an fuzzy coefficient and X = ( , , … , / ) is an n dimensional non-fuzzy input ...Triangular Fuzzy Number (TFN) coefficient 2 can be defined by *+, = [a; 2 ...
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Solution Procedures for Multi-Objective Intuitionistic Fuzzy Linear and Fractional Linear Programming Problems using Weighting Factor
... Multi-objective fuzzy linear programming problem (MOFLPP) and ...Multi-objective fuzzy fractional linear programming problem (MOFFLPP) using weighting factor under constraints with ...
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