MINIMUM COST FLOW FINDING IN THE NETWORK BY THE METHOD OF EXPECTATION RANKING OF FUZZY COST FUNCTIONS
This article describes a method for minimum cost flow finding in a network with triangular fuzzy values of transmission costs of one flow unit. This problem is relevant due to the fact that fuzzy nature of transmission costs is taken into account. It allows us to make decisions more sensitive to environmental changes. The peculiarity of the problem is that fuzzy cost coefficients occur in the objective function. Current methods of solving this fuzzy linear programming task such as implementation of a parametrical linear programming are time-consuming and complicated. The method of expectation ranking of fuzzy cost functions for minimum cost flow determining will be considered in this article. To illustrate the proposed method a numerical example is presented.