Momoge wetland area prediction based on fuzzy reasoning method
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Abstract:
The continuous shrinking of wetland area will lead to the continuous decline of the ecological functions of natural wetlands. In order to help wetlands to maintain a certain area, we should predict the natural area of wetlands first. In this paper, we used Momoge wetland in Jilin Province of China as the object of study to predict wetland area. First, we analyzed the main impact factors and their different influence on the area of Momoge wetland. We used the method of fuzzy reasoning method, which could well adapt to the highly nonlinear characteristics of multi-factor prediction. The results showed that the prediction accuracy of the fuzzy reasoning method is better than that of the multiple regression analysis method. The fuzzy reasoning method can be used in the studies of multi-index nonlinear prediction, evaluation, and classification in many engineering fields.
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