A method for intelligent decision making using RSGAANN
Bangzhu Zhu · Journal of Dalian Maritime University · 2008
An intelligent method based on rough sets(RS),genetic algorithm(GA) and artificial neural network(ANN),i.e,RSGAANN was developed to solve the problems of high dimension and nonlinearity in multiple attribute decision making(MADM).RS was used for attribute selection to reduce the complexity of ANN and improve its speed,and GA was used to train the weights of ANN to constitute a GAANN model,and then the reduced data was introduced into GAANN to obtain the results of decision making.The empirical results reveal that RSGAANN method has better generalization ability.Compared with the standard SVM,RSGAANN has some superiority in respect of predicting accuracy.