Application of Fuzzy Situational Networks in Decision Support Systems in the Transport Industry

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.

Mathematical support to make managerial decisions in the socio-economic systems of public transport enterprises

“…Methods designed to improve management, such as management variability and adaptability to different models in case of economic stagnation, provide progressive economic development, which is especially important in relation to a transport enterprise. For such enterprises, these tasks come to increasing revenue and reducing direct and indirect costs [1,11].…”