Design and Realization of FCE Optimized Model in DSS

The model base plays an important role in the process of decision support system (DSS) design, so it is a worthwhile study to the reasonable design and the optimization of models. This paper makes an in-depth research on fuzzy comprehensive evaluation (FCE) model which is on a widely used and put forward the Fast FCE model based on neural network (NN). This method organically combines FCE, NN and genetic algorithms (GA) together for the first time and solves the parameters; setting problem of all links in the model. The weight vector of the model is obtained by training NN to avoid man-made interventions, and the training speed of NN is improved by the pre-study of GA. Finally, according to the index data of China real estate listed companies in 2005 and 2006, this paper takes a comprehensive strength evaluation on real estate listed companies in 2007 and compares the evaluated result with the top 10 of real estate listed companies in 2007 published by the Real Estate Comprehensive Strength Evaluation Top 10 Study Team. The result shows that the model is effective to evaluate enterprises´ comprehensive strength and better than the other comprehensive evaluation methods.