Algorithm of Attribute Reduction Based on Decision System with Uncertain Factor and Soft Computing

摘要

An the data mining research,Rough Set is an important topic. Rough Set algorithm submitted by Z.Pawlak in 1982 is effective method on data mining adopted in recent years. Rough Set has been applied to machine learning expert system designing and knowledge indicating. Objects classify is strict excessively and too sensitive on noise. In this paper,aiming at uncertain information and noise data,decision system with uncertain factor is established,the attributes in the system are reduced via the soft computing,whereby finding a reducible implied pattern of the data,and deleting those redundant rules in the system,and it can keep the original properties and functions of the system .the procedure of soft computing by introducing an example is described.