一种基于粗糙集理论的专家系统结构  

Architecture of an expert system based on rough set theory

作　　者：彭佳文[1] 曾炼成[2] 彭剑[2] 

机构地区：[1]广西工学院信息网络中心,广西柳州545006 [2]湖南农业大学信息科学技术学院,湖南长沙410128

出　　处：《湖南农业大学学报（自然科学版）》2008年第4期498-500,共3页Journal of Hunan Agricultural University(Natural Sciences)

基　　金：湖南省教育厅项目(07C008)

摘　　要：基于S.H.Nguyen提出的布尔逻辑和粗糙集理论相结合的离散化算法,在一种改进的启发式离散化算法基础上,提出了一种基于粗糙集数据挖掘的系统结构;给出了一种基于粗糙集的专家系统结构.该结构可应用于诸多领域,具有较强的实用性和一定的通用性.Asysten architecture for data mining system based on rough set data mining was put forward based on the a discretization algorithm, derived from the combination of rough set and boolean reasoning approach presented by Nguyen S.H., and an improved heuristic algorithm for discretization. In the end, an architecture for expert system based on rough set theory was put forward. This architecture was of good practicability and definite currency and could be applied to quite a few fields.

关 键 词：粗糙集 离散化 数据挖掘 专家系统 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]