基于缺省规则的决策支持方法  

Decision Support Method Based on Default Rules

作　　者：尹旭日[1] 商琳[2] 

机构地区：[1]解放军汽车管理学院军交仿真实验室,安徽蚌埠233011 [2]南京大学计算机软件新技术国家重点实验室,江苏南京210093

出　　处：《计算机应用研究》2007年第3期82-84,88,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(60503022)

摘　　要：利用Rough集理论的基本原理和方法,在提出一种缺省规则挖掘策略和算法的基础上,系统地描述了基于缺省规则的决策支持方法,将其应用于汽车故障诊断决策分析中。试用表明,该方法能较好地排除噪声的影响,使决策者在有限的时间和有限的知识下,作出比较合理的决策。The Rough set theory was deeply researched, and algorithms for mining default rules based on Rough set theory was proposed. An analysis method for decision support based on default rules was presented. This method could make the best use of the information of decision system, and reason in absence of knowledge under strict time constraints. Probation showed that this method was less susceptible to noise, and can provide powerful decision support.

关 键 词：ROUGH集 决策支持 缺省规则 类描述 不一致性 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]