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Abstract
The article deals with the design of decision support systems in the transport industry based on fuzzy situational networks, which are parameterized by a set of states and transitions between them. The proposed model is represented as a fuzzy hierarchical situational-event network. A mechanism for the dynamic formation of fuzzy situational networks has been developed. The obtained optimal estimates of control decisions that come out of the network nodes represent the basic mechanism for generating transition estimates. In the general case, the use of situational networks as a basic technology for creating decision support systems presupposes the existence of a knowledge base with a structure corresponding to the description of knowledge in the formed model of a fuzzy situational network.
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1 Belgorod State Technological University named after V. G. Shukhov, st. Kostyukova 46, Belgorod, Russia
2 Orel State University named after I.S. Turgenev, st. Komsomolskaya 95, Orel, Russia
3 Krasnoyarsk City Administration, Karl Marks str., 93, Krasnoyarsk, Russia