THE RISK ASSESSMENT MODEL IN FUZZY ENVIRONMENT USING LOGICAL INFERENCE ON FUZZY SETS OF THE FIRST ORDER
Authors:
1.
Saint-Petersburg university of State fire service of EMERCOM of Russia
2.
Saint-Petersburg university of State fire service of EMERCOM of Russia
3.
Saint-Petersburg university of State fire service of EMERCOM of Russia
Type:
Article
Pages:
from 107
to 120
Status:
Published
Received:
12.06.2017
Accepted:
20.06.2017
Published:
25.06.2017
Language:
Russian
Keywords:
risk assessment, fuzzy set theory, fuzzy sets of the first order, logical inference on fuzzy sets
Abstract (English):
The paper presents a comparison of the most frequently used evaluation methods of integrated risk in the fuzzy environment, where virtually all components of the integrated risk contain so-called non-factors: vagueness, uncertainty, imprecision and nudepreteens. The analysis of peculiarities of construction of models of risk assessment using fuzzy inference on fuzzy sets of the first order. The algorithms of fuzzy inference in comparison.
The paper presents a comparison of the most frequently used evaluation methods of integrated risk in the fuzzy environment, where virtually all components of the integrated risk contain so-called non-factors: vagueness, uncertainty, imprecision and nudepreteens. The analysis of peculiarities of construction of models of risk assessment using fuzzy inference on fuzzy sets of the first order. The algorithms of fuzzy inference in comparison.
Keywords:
risk assessment, fuzzy set theory, fuzzy sets of the first order, logical inference on fuzzy sets
risk assessment, fuzzy set theory, fuzzy sets of the first order, logical inference on fuzzy sets
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