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计算机工程 ›› 2007, Vol. 33 ›› Issue (04): 220-222. doi: 10.3969/j.issn.1000-3428.2007.04.077

• 人工智能及识别技术 • 上一篇    下一篇

基于Rough集理论的装备维修保障资源优化配置

宋光明,曹继平,宋建社,何志德   

  1. (第二炮兵工程学院信息工程研究所,西安 710025)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-02-20 发布日期:2007-02-20

Resources Configuration of Equipment Maintenance Support Based on Rough Set Theory

SONG Guangming, CAO Jiping, SONG Jianshe, HE Zhide   

  1. (Institute of Information Engineering, The Second Artillery Engineering College, Xi’an 710025)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-02-20 Published:2007-02-20

摘要: 建立了基于Rough集理论的装备维修保障资源配置知识的表达、获取、发现和应用体系;用基于分辨矩阵的属性约简方法,提出了一种装备维修保障资源配置方法。结合实例,对复杂战场环境下装备维修保障资源配置进行了定性分析,给出了不同条件下装备维修保障资源配置方案,为装备维修保障资源配置决策提供了理论依据。

关键词: 装备, 维修保障, 资源配置, 粗糙集

Abstract: Through researching on the relevant theory of Rough set, a system of knowledge representation, acquisition, discovery and application is founded. A equipment maintenance support configuration method based on reduction attributes with discrimination matrix is given. The configuration projects of the equipment maintenance support resources are presented on qualitative analyzing of the resources configuration in complex battlefield by an example. It shows that the approach is practical and useful.

Key words: Equipment, Maintenance support, Resources configuration, Rough set