Recently, Ghanbari and Mahdavi-Amiri (Appl Math Model 34:3363–3375, 2010) gave the general compromised solution of
an LR fuzzy linear system using ABS algorithm. Here, using this general solution, we solve quadratic ...

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 ...

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 ...

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 ...

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 ...

We want to solve fuzzy linear programming problems with fuzzy coefficients in the objective function using a new variable neighborhood search algorithm. In our proposed algorithm, the local search is defined based on descent ...

تا کنون روش فراگیری برای مقایسه‌ی عددهای فازی ارایه نشده است. از جمله روش‌های شناخته شده برای مقایسه‌ی دو عدد فازی روش کر است. روش کر مستلزم محاسباتی پیچیده بر روی اعداد فازی LR است. از این رو، این جا یک روش بهبود یافته‌ی ...

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 ...