Open AccessSafety Assessment of Technical Objects and Systems Using Fuzzy Logic Methods
Author(s) -
Е.Ф. Дубинин,
В.И. Куксова
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/988/2/022016
Subject(s) - fuzzy logic , computer science , reliability (semiconductor) , risk analysis (engineering) , measure (data warehouse) , reliability engineering , data mining , artificial intelligence , engineering , medicine , power (physics) , physics , quantum mechanics
To assess and analyze safety of engineering facilities, systems and the level of risks in the manmade environment, it is often necessary to study the influence of various weakly formalized factors. In this case, when modeling risk, it is advisable to use methods of fuzzy logic. Fuzzy methods make it possible to represent risk, defined as a combination of the probability of an emergency and the measure of its consequences, as a function of fuzzy variable. This makes it possible to develop fuzzy models describing the relationship between parameters of technical facilities and their safety level in accordance with various risk criteria. The paper provides examples of assessing the influence of the reliability of a technical system on the level of societal risk for personnel as well as the influence of the level of facility protection on the level of risk generated by it. The aspects of formalization of indicators characterizing the reliability of the human operator are also considered. These aspects are further used for modeling risk. The considered procedures can be made more sophisticated by expanding the space of factors, taking into account linkages among them and embedding the obtained fuzzy sets into a hierarchical cognitive risk model.