Assessment of human factor in emergency situations on the basis of fuzzy sets

Abstract

Assessment of human factor in emergency situations on the basis of fuzzy sets

Gordienko L.V., Dmitrieva I.A.

Incoming article date: 16.12.2016

This work is devoted to the modeling of the fuzzy assessment of the impact of human factors in emergency situations in industrial activity. Relevance of the research lies in the uncertainty, heterogeneity and uncertainties of the input data, on the basis of which it is necessary to assess the impact of human factors in emergency situations. The article describes the main stages of the fuzzy modeling: fuzzification of input data, the construction of inference rules and defuzzification of the output variable. The proposed base of fuzzy inference rules include input linguistic variables, fuzzy rule-production and output linguistic variable. The constructed model allows us to estimate the degree of influence of the human factor in the conditions of uncertainty and subjectivity.

Keywords: linguistic variable, fuzzy modeling, human factors, fuzzy rule-production