Formation of fuzzy inference to find the level of risk in the enterprise aviation industry

Аuthors

Badalova A. G.^*, Panteleev P. A.^**

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: abadalova@mail.ru
**e-mail: avpanteleev@inbox.ru

Abstract

The problem of finding the level of risk in the enterprise of aviation-industrial complex (AIC). To solve it, the authors proposed algorithm for forming fuzzy system, which is used to find the risk level on the grade on the basis of linguistic values of the probability of risk event, the probability of changes to the financial performance of the company after the risk event and the indicator of the relative changes in financial results. Examples are given to demonstrate the effectiveness of the system formed.

Keywords:

Risk; the level of risk; fuzzy sets; fuzzy system; fuzzy inference; linguistic variables; fuzzification; defuzzification

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