Using of Fuzzy Logic for Risk Assessment of Construction Enterprise Management System

Abstract

This study presents a fuzzy production model (FPM) for risk assessment of the construction enterprise management system. The task of the research is to explore the feasibility of risk analysis model based on fuzzy logic, which allows it to be adapted to existing risk management models and modified taking into account the real conditions for the implementation of an investment and construction project. The authors suggest FPM with a set of input parameters that characterize risk factors, a set of output parameters that characterize the risks indicators and base of fuzzy production rules. The result is presented by the process of implementing fuzzy modeling of the rule base using the developed ModelingFuzzyLogic system based on the Mamdani algorithm and allows getting a linguistic description of the degree of risk and its numerical value. The results of the study are recommended for use in the management system of a construction enterprise to identify potential risks in the implementation of an investment and construction project.