基于Rough Set理论的商务决策支持系统知识发现的研究  

Reasearch of Knowledge Discovery in Business Decision Support System Based on Rough sht Theory

作　　者：张楠[1] 王子牛[1] 刘念[1] 

机构地区：[1]贵州大学信息工程学院,贵州贵阳550003

出　　处：《贵州大学学报（自然科学版）》2006年第3期279-282,共4页Journal of Guizhou University:Natural Sciences

摘　　要：以商务决策作为研究背景,基于Rough Set理论解决商务决策支持系统中信息不确定,数据量大的困难.从Rough Set理论的基本概念出发,给出决策表的知识表达系统,提出计算最小决策规则的算法,最后通过运用Rough Set理论和方法对商务决策支持系统的实例进行属性及属性值的约简,挖掘其中隐含的知识,从而得出最小决策规则.This paper aims to resolve problems of uncertain information and generous data of business informadon systems based on Rough Set theory, and date processing of business information. From the basic concepts of the Rough set theory ,the knowledge expression system of dedsion-making table is described, and arithmetic of the mihimal decision-making reguladons is proposed. Finally, the attribute reducdon of decision table with the theory is processed and the mining of the hidden knowledge, business decision suppon system for instance is discussed. The minimal decision-making regulation sarededuced.

关 键 词：ROUGH SET理论 属性约简 最小决策规则 

分 类 号：TP321[自动化与计算机技术—计算机系统结构]