Open AccessApplication of Fuzzy Situational Networks in Decision Support Systems in the Transport Industry
Author(s) -
Anastasia Shevtsova,
Alexander Novikov,
S.V. EREMIN
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/666/3/032015
Subject(s) - situational ethics , fuzzy logic , computer science , decision support system , situation awareness , knowledge management , artificial intelligence , fuzzy set , situation analysis , operations research , management science , mathematics , engineering , business , psychology , aerospace engineering , social psychology , marketing
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.