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A variables neighborhood search algorithm for solving fuzzy quadratic programming problems using modified Kerre’s method
To solve a fuzzy optimization problem, we need to compare fuzzy numbers. Here, we make use of our recently proposed
modified Kerre’s method as an effective approach for comparison of LR fuzzy numbers. Using our new ...
Solving fuzzy quadratic programming problems based on ABS algorithm
other methods, specially when rank of the coefficient matrix is full. Thus, solving the fuzzy quadratic programming problem
by using our proposed method is computationally easier than the solving fuzzy quadratic programming problem by using
ranking...
Fuzzy Linear Programming Problems: Models and Solutions
We classify some important types of fuzzy linear programming problems based on the models or the solution methods. First, review fuzzy
linear programming problems with fuzzy decision variables and associated duality ...
Duality in bipolar triangular fuzzy number quadratic programming problems
We discuss how to solve bipolar fuzzy quadratic programming problems, where the parameters are bipolar
triangular fuzzy numbers, making use of linear ranking functions. Also, we explore some duality properties of bipolar triangular fuzzy...
Solving fuzzy number quadratic programming problems using a variableneighborhood search algorithm
Recently, we proposed modified Kerre’s method as a more efficient approach than the original Kerre’s
approach for comparison of LR fuzzy numbers. Using the modified Kerre’s method, we proposed a new
variable ...
A variable neighborhood search algorithm for solving fuzzy number linear programming problems using modified Kerre’s method
To solve a fuzzy linear program, we need to compare fuzzy numbers. Here, we make use of our recently proposed modified Kerre\\\\\\'s method for comparison of LR fuzzy numbers. We give some new results on LR fuzzy numbers ...
Fuzzy process capability indices for simple linear profile
Process capability indices are numerical tools that quantify how well a process can meet customer requirements, specifications or engineering tolerances. Fuzzy logic is incorporated to deal imprecise,
incomplete data ...
Fuzzy process capability indices for simple linear profile
Process capability indices are numerical tools that quantify how well a process can
meet customer requirements, specifications or engineering tolerances. In real world,
in some cases we are faced with imprecise ...
New solutions of LR fuzzy linear systems using ranking functions and ABS algorithms
We propose an approach for computing the general compromised solution of an LR fuzzy linear system by use of a ranking function when the coefficient matrix is a crisp m×n matrix. The solution is so that mean values of a compromised solution...