Abstract
Today, humanity faces many environmental challenges. Global warming, the pollution of the world’s oceans, the reduction of carbon dioxide emissions, and other problems require a long-term solution strategy. Natural processes are often not amenable to classical mathematical modeling, due to the complexity of describing the interactions of a known number of factors. Creating a correct environmental model requires a large amount of input data. To monitor the state of the environment, it is necessary not only to assess environmental risks in different probable scenarios, but also to develop methods for their minimization and further control. The article analyzes the main approaches to the use of fuzzy logic in describing the processes in the environment. An algorithm for assessing and controlling environmental risks using elements of fuzzy logic on the example of soil pollution with oil is proposed.
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