Development of a Decision-Making Model to Provide Expert Assessment of the State of the Environment

Abstract

This paper provides a brief analysis of analytical models and models of fuzzy logical inference, which are used for solving various problems associated with the ecological state of environmental objects. The classification of models is given. The results of the analysis of the works showed that stochastic models are often used, in particular, regression models and models of fuzzy logical inference when verbally setting the parameters of objects. Analytical models of environmental objects are non-stationary, non-linear and are characterized by after effect, therefore, these models have significant limitations in application. The analysis of the using of models of fuzzy logical inference for solving environmental problems. The results of the analysis showed that for many tasks in different areas of human activity, decisions are being made regarding the ecological state of the environment. It is concluded that the development of decision-making models regarding the ecological state of environmental objects is a relevant aim.