A Fuzzy Inference-Based Warning Model for Ecological Environment Risks in Industrial Parks

Based on the ecological environment risk factors in industrial parks, we propose an industrial park ecological environment risk assessment model to quantify ecological environment risks and accurately identify high-risk events. The risk factors are fuzzified by using fuzzy sets, the classification criteria for risk factor levels are determined. Furthermore, we develop a fuzzy inference rule base based on expert knowledge and use fuzzy inference and hierarchical structures to build a risk early warning model across multiple dimensions. This model computes ecological environment risk values for industrial parks and simulates the occurrence and early warning of ecological environment risks in industrial parks by inputting relevant risk factor data, which provide decision support for risk prevention and ecological environment management.