基于粗糙集理论的证券分析系统数据融合

将粗糙集理论应用于证券分析系统,探讨了相容状况下基于粗糙集理论的数据处理方法,并给出了系统结构和融合方法。该方法以局部决策作为条件属性,融合中心采用粗集理论方法对局部决策进行处理,包括知识表达、化简,最后给出决策规则。从结果来看,采用该方法不需要先验概率,也不需要隶属函数,同时还可以去除冗余的局部决策,使系统的配置最优化、提高了系统的运行速度。

Data Fusion Based on Rough Sets Theory in Stocks Analysis System

It is researched that the consistent datum are disposed by rough set theory in the data fusion center of stocks analysis system.The stocks analysis system data fusion structure and crisp fusion algorithm based on rough sets theory is proposed.This method uses partly rules as condition attributes,local rules are processed by rough set theory in fusion center,which includes knowledge representing and predigesting,and the decision rules were conclude at last.This method does not need prior probability and membership functions,and it can avoid the redundancy rules meanwhile.All of this made the system configuration optimization and can accelerate the system run speed.