we present a new model and a new approach for solving fuzzylinear programming (flp) problems with various utilities for the satisfactionof the fuzzy constraints. the model, constructed as a multi-objective linearprogramming problem, provides flexibility for the decision maker (dm), andallows for the assignment of distinct weights to the constraints and the objectivefunction. the desired solutio...

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...

This paper addresses the problem of linear-fractional programming under uncertainty. The uncertainty here is understood as ambiguity coefficients’ values in optimized functional. We give two mathematical formulations problem. In first one, refers to numerator: there are several sets objective function coefficients, each coefficient can determine numerator problem’s criterion at stage its soluti...