Evaluation Model of Rubber Planting Suitability Based on Cloud Theory, Rough Set and Fuzzy Neural Network

The new rubber planting suitability evaluation model based on the cloud theory, rough set and fuzzy neural network has been put forward according to the lack of influencing factors samples on rubber growth. Qualitative description of the rubber planting rules can be converted into quantitative rubber planting influencing factors sample data by the forward cloud generator of the evaluation model. Moreover, rough set is used to reduce the sample data. Then, the membership of each evaluation element is obtained via the fuzzy neural network. Finally, the evaluation grade is calculated though evaluation element membership. The preliminary research indicates that the model, which combines spatial clustering analysis, can scientifically and fleetly divide the study area into the most suitable area, suitable area, the less suitable area and unsuitable area.