Evaluation Modeling of Desulfuration Projects based on Rough Set-Fuzzy Neural Network

In the desulfuration projects decisions of the electric power plants, used the fuzzy neural network model based on rough set theory is proposed by integrating rough set with fuzzy neural network. The method of reduction from the rough set theory is used to obtain reductive rules from sampled data. Then according to the summarized datasheet of the desulfuration projects, constructed the figures of fuzzy neural networks. Thus through this method, simplified the structure of the figures of neural networks, which enables the structure to become the simplest. The results of simulation confirmed the advantages of the rationality and feasibility of the rough set-fuzzy neural networks model which used in the decision making of the electric power plants desulfuration.