The Research About Using The Soft Computer Method To Deal With Knowledge Of The Idss

IDSS is the production of the AI technology of DSS, and it has become the front reseach field in DSS. So how to improve the AI of DSS comes to the problem that puzzles the researchers. Soft computation that intergrats of different computation methods such like fuzzy set, neural network, genetic arithmetic, has provided the efficient method to solve this problem. Soft computation provides a more flexible processing method for the unprecise, uncertain real-life DSS and it has described by the term of parallel processing, default contain and processing uncertainty.This paper discuss the Rough computation and the Fuzzy-neural computation of the Soft computation core, it also discuss the amalgated way of this two methods. It has put forward Soft computation method that intergrate Rough computation with the fuzzy-neural computation. It use Rough computation merit of processing the uncertain, impefect information an the reasoning characteristic to optimize the neural network. Moreover, it has kept the strong tolerance, self-learning and generalization ability. Through the emulational test, we can prove this method feasibility.