SOLUTION OF THE TRANSPORT TASK WITH FUZZY DEFINED TARIFFS

Abstract

Optimization tasks containing uncertainty in their formulation have great importance. For example, the optimization problem of delivering fine-flow cargo in the conditions of a large city by the method of fuzzy with-medium. This method is designed to break the set of elements on fuzzy subsets. Which in turn makes it possible to distribute peripheral points in areas, based on additional conditions. The use of the apparatus of the theory of fuzzy sets simplifies the formulation and description of the tasks. This article discusses the construction of the optimal plan of the transport problem, in which the specific costs of transportation are fuzzy sets. The model example built a plan for transportation in a changing tariff. The solution to this task allows you to develop the most rational ways and ways to transport goods, eliminate excessively distant, counter, re-transport. All this reduces the time promotion of goods, reduces the costs of enterprises and firms related to the implementation of the supply processes with raw materials, materials, fuel, equipment, etc. The algorithm and methods of solving the transport task can be used in solving some economic tasks that do not have anything in common with transportation of cargo. Purpose. Finding the optimal solution of the transport task with fuzzy specific tariffs. Methodology in article use linear programming methods, elements of the theory of fuzzy sets. Results: Obtained an algorithm for finding the optimal solution of the transport problem with unclearly defined tariffs. Practical implications it is expedient to apply the received results for transport planning, for solving some economic problems.

Keywords

• transport task
• fuzzy sets
• optimal plan