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基于缺省规则的决策支持方法
引用本文:尹旭日,商琳.基于缺省规则的决策支持方法[J].计算机应用研究,2007,24(3):82-84.
作者姓名:尹旭日  商琳
作者单位:解放军汽车管理学院,军交仿真实验室,安徽,蚌埠,233011;南京大学,计算机软件新技术国家重点实验室,江苏,南京,210093
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.

关 键 词:Rough集  决策支持  缺省规则  类描述  不一致性
文章编号:1001-3695(2007)03-0082-03
修稿时间:2005-12-262006-02-27

Decision Support Method Based on Default Rules
YIN Xu ri,SHANG Lin.Decision Support Method Based on Default Rules[J].Application Research of Computers,2007,24(3):82-84.
Authors:YIN Xu ri  SHANG Lin
Affiliation:(1.Simulation Laboratory of Military Traffic, Institute of Automobile Management of PLA, Bengbu Anhui 233011, China;2.State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing Jiangsu 210093, China)
Abstract: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.
Keywords:
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