Quantifying extra functions, herein referred to as outcome over optimal solutions of an optimization problem can provide decision makers with additional information on a system. This bears more importance when the is subject uncertainty in input parameters. In this paper, we consider linear programming problems which parameters are described by real-valued intervals, and address range finding f...

Purpose of study: Main aim this study is to deals with the problem inventories. Their holding cost, set-up and many more related that. All problems are flexible having fuzzy nature.
 Methodology: The model takes form a Geometric Programming problem. Hence geometric programming algorithm used here.
 Finding: developed models may be for single item constraint limitation on storage area ...

in this paper, according to high load capacity and rather large workspace characteristics of cable driven robots (cdrs), maximum dynamic load carrying capacity (dlcc) between two given end points in the workspace along with optimal trajectory is obtained. in order to find dlcc of cdrs, joint actuator torque and workspace of the robot constraints concerning to non-negative tension in cables are ...

in this paper, an optimization problem with a linear objective function subject to a consistent finite system of fuzzy relation inequalities using the max-product composition is studied. since its feasible domain is non-convex, traditional linear programming methods cannot be applied to solve it. we study this problem and capture some special characteristics of its feasible domain and optimal s...