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.
出处
《机床与液压》
北大核心
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)
关键词
装备维修级别分析
不完备信息系统
粗糙集
决策
Level of repair analysis （LORA）
Incomplete information system
Rough set
Decision
