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[PDF] Top 20 A method for solving fully fuzzy linear system with trapezoidal fuzzy numbers

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A method for solving fully fuzzy linear system with trapezoidal fuzzy numbers

A method for solving fully fuzzy linear system with trapezoidal fuzzy numbers

... is solving a system of linear ...simultaneous linear equations play a major role in various areas such as operational research, physics, statistics, engineering and social ...the system ... See full document

16

FFLP problem with symmetric trapezoidal fuzzy numbers

FFLP problem with symmetric trapezoidal fuzzy numbers

... a system of m fuzzy linear equation involving trapezoidal fuzzy numbers in n unknowns (n ≥m), , where is a m×n matrix and rank of is ...of fuzzy variables , … , are ... See full document

8

Sensitivity Analysis for Interval-valued Fully Fuzzy Linear Programming Problems

Sensitivity Analysis for Interval-valued Fully Fuzzy Linear Programming Problems

... for fuzzy linear programming ...a method for the sensitivity analysis for fuzzy linear programming problems with fuzzy variables by converting them into a crisp ... See full document

14

Adomian Method for Solving Fuzzy Fredholm-Volterra Integral Equations

Adomian Method for Solving Fuzzy Fredholm-Volterra Integral Equations

... Adomian method has been applied to approximate the solution of fuzzy volterra-fredholm integral equa- ...of fuzzy numbers, a fuzzy volterra-fredholm integral equation has been converted ... See full document

7

Fuzzy linear system of the form $\tilde{A}_{1} X\Theta_{gH}\tilde{A}_{2} X=\tilde{b}$

Fuzzy linear system of the form $\tilde{A}_{1} X\Theta_{gH}\tilde{A}_{2} X=\tilde{b}$

... for solving dual linear system of the form x=Ax+u, where A is a real n*n matrix, the unknown vector x and the constant u are all vectors consisting of fuzzy ...considered fuzzy ... See full document

13

Ranking Exponential Trapezoidal Fuzzy Numbers by Median Value

Ranking Exponential Trapezoidal Fuzzy Numbers by Median Value

... of fuzzy set theory to meet those ...the fuzzy numbers as a fuzzy subset of the real line [9]. Fuzzy numbers allow us to make the mathematical model of linguistic variable or ... See full document

9

CHEBYSHEV ACCELERATION TECHNIQUE FOR SOLVING FUZZY LINEAR SYSTEM

CHEBYSHEV ACCELERATION TECHNIQUE FOR SOLVING FUZZY LINEAR SYSTEM

... involving fuzzy numbers are the most important ingredients in many fields such as mathematics, physics, statistics, ...by fuzzy numbers, it is important to develop mathematical models and ... See full document

11

420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL

420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL

... the linear programming: real numbers, fuzzy numbers of type-1, and fuzzy sets of ...the fuzzy linear programming of type-1 is obtained through a linear ... See full document

16

Web as a Tool for Some Diagnostic Problem Solving

Web as a Tool for Some Diagnostic Problem Solving

... knowledge with the guidance of the ontology ...the fuzzy techniques can be used to avoid rigid definitions and to manage uncertainty in hierarchical representations of concepts and in inference or matching ... See full document

7

Fuzzy production planning models for an unreliable production system with fuzzy production rate and stochastic/fuzzy demand rate

Fuzzy production planning models for an unreliable production system with fuzzy production rate and stochastic/fuzzy demand rate

... concerned with the degree of uncertainty by which an element belongs to a ...triangular fuzzy numbers. They used the fuzzy proposition method to obtain the optimal order ...shape ... See full document

14

Evaluation of E-commerce Website Quality Using Fuzzy Multi-criteria Decision Making Approach

Evaluation of E-commerce Website Quality Using Fuzzy Multi-criteria Decision Making Approach

... the fuzzy set theory, developed by Zadeh [11], can be used in decision making ...combined with fuzzy set theory by Laarhoven and Pedrycz [12] for the first ...the method is related to the ... See full document

7

Combination of Neural Networks and Fuzzy Clustering Algorithm to Evalution Training Simulation-Based Training

Combination of Neural Networks and Fuzzy Clustering Algorithm to Evalution Training Simulation-Based Training

... cooperation with relevant institutions, including 17 ...LDA method and Pearson's correlation coefficient was used along with genetic ...use fuzzy clustering to produce fuzzy ... See full document

8

An Efficient Implementation of Weighted Fuzzy Fisherface Algorithm for Face Recognition Using Wavelet Transform

An Efficient Implementation of Weighted Fuzzy Fisherface Algorithm for Face Recognition Using Wavelet Transform

... Weighted Fuzzy Fisherface (WFF) technique using biorthogonal ...weighted fuzzy fisherface technique was an extension of Fisher Face technique by introducing fuzzy class membership to each training ... See full document

7

Proposal and Implementation of MPLS Fuzzy Traffic Monitor

Proposal and Implementation of MPLS Fuzzy Traffic Monitor

... framework with enhanced ...using fuzzy predictions. It was found that fuzzy approach used here, is performing better as compared to previous ...the fuzzy traffic monitor proved as more ... See full document

9

Multicriteria optimization in a fuzzy environment: The fuzzy analytic hierarchy process

Multicriteria optimization in a fuzzy environment: The fuzzy analytic hierarchy process

... the fuzzy extension of the Analytic Hierarchy Process (AHP) based on fuzzy numbers, and its application in solving a practical problem, are ...the fuzzy user preferences during ... See full document

15

Neutrosophic Correlation and Simple Linear Regression

Neutrosophic Correlation and Simple Linear Regression

... of fuzzy sets. Fuzzy set is very much useful and in this one real value  A ( x )  [ 0 , 1 ] is used to represent the grade of membership of a fuzzy set A defined on the crisp set ...of fuzzy ... See full document

6

TITLE -SUPPLIER SELECTION: FUZZY-AHP APPROACH

TITLE -SUPPLIER SELECTION: FUZZY-AHP APPROACH

... Approach, vendor profile analysis (VPA), analytic hierarchy process (AHP), and multiple objective programming (MOP). Although both AHP and MOP have some advantages over other existing approaches, they are still suffering ... See full document

6

Fuzzy Linear Automata and Some Equivalences

Fuzzy Linear Automata and Some Equivalences

... for fuzzy linear grammars. Next we will present a fuzzy generalization for the nondeterministic linear automata [5], that we called fuzzy linear automata ...of fuzzy ... See full document

19

Inverse DEA Model with Fuzzy Data for Output Estimation

Inverse DEA Model with Fuzzy Data for Output Estimation

... review fuzzy sets and fuzzy number linear programming ...consider fuzzy DEA problem and its inverse DEA problem in section ...a fuzzy MOLP for outputs ... See full document

24

Application of Fuzzy Algebra in Automata theory

Application of Fuzzy Algebra in Automata theory

... of fuzzy singletons as input to a fuzzy finite state ...of fuzzy automata was introduced in ...free fuzzy monoids and apply the results to the area of fuzzy ...In fuzzy automata, ... See full document

6

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