基于粗糙集扩展模型的维修级别分析决策研究  

Level of Repair Analysis Decision Based on Extension Model of Rough Set

作　　者：凌海风[1,2] 周献中[1] 苏正炼[2] 朱亮[2] 

机构地区：[1]南京大学工程管理学院,江苏南京210093 [2]解放军理工大学工程兵工程学院,江苏南京210007

出　　处：《机床与液压》2011年第21期145-148,共4页Machine Tool & Hydraulics

基　　金：国家自然科学基金资助项目(70571032)

摘　　要：维修级别经济性分析时需要的数据多、范围广,但是往往质量差,数据不完备,其分析决策是典型的不完备信息系统决策问题。在对未知属性值分析的基础上,提出一种新的粗糙集扩展模型,给出基于该模型进行装备修理级别经济性分析的基本步骤,并通过实例介绍了决策的全过程,为解决装备维修级别经济性分析提供了新思路和新方法。It＇s a great burden to get a wide range and a great quantity of data to make level of repair economic analysis, which are often incomplete and of low quality, and the decision of which is a typical incomplete information system decision problem. Under the analysis of the unknown attributes, a new extension model of rough set was proposed. The basic measures to make level of repair economic analysis （LOREA） under the new model were given and the whole decision process of a real ease was introduced, which provided new ideas and ways for LOREA.

关 键 词：装备维修级别分析 不完备信息系统 粗糙集 决策 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]