METHOD OF FUZZY SETS FOR SOLVING PROBLEM OF THE ORGANIZATION OF COMPLEX TRANSPORTATION OF OIL PRODUCTS IN ARCTIC CONDITIONS
The article contains a proposal of optimization of cargo transportation in the Russian Arctic. There is made outcome of possible variants of delivery cargo (oil products) in the short term perspective taking into account the state of the ice breaking fleet of the Russian Federation till 2025. It is concluded that in the development of the postindustrial society, more attention is paid to the use of the theory of fuzzy sets, in the solution of various weakly structured tasks, which includes the delivery of goods in conditions of poorly developed infrastructure, unstable cargo traffic, as well as complex hydrometeorological conditions. The article analyzes the section of mathematics that helps in developing methods for processing the initial “fuzzy information”, which is actual in planning the transport process to the Arctic. The practice of using the apparatus offuzzy sets in various industries allows us to conclude that it is widely used in expert systems, including in logistics. The study shows that the solution of the problem of delivering petroleum products by several types of ships improves the accuracy of the synthesis of a fuzzy system with a given level of criteria. The proposed method makes it possible to infer the rationality of training the neural network necessary to verify the fulfillment of the assigned task. Such approach, according to the experts in the field of supply chain management, can be useful in the planning of transport econometrics.