面向远程测试与支援的不完备信息粗糙群决策  

Incomplete Information Rough Group Decision-making in Remote Test and Support

作　　者：禹航[1,2] 肖明清[1] 胡雷刚[1] 陈利安[1] 

机构地区：[1]空军工程大学航空航天工程学院,航空维修测试设备研究中心,陕西西安710038 [2]空军西安飞行学院,陕西户县710306

出　　处：《探测与控制学报》2013年第1期59-64,共6页Journal of Detection & Control

基　　金：电子测试技术国防科技重点实验室基金项目资助(51487020305JB××××);空军工程大学研究生创新基金项目资助(Dx2010107)

摘　　要：针对远程测试过程中由于数据质量及网络传输质量引起的信息不完备问题和远程支援过程中多专家意见合作冲突的多源决策问题,设计了一种粗糙群决策方法。该方法首先运用粗糙集理论,引入相似关系对不完备信息系统进行表示,采用最优完备选择避免不完备数据补齐方法带来的信息失真,对不完备信息系统进行决策,同时引入决策支持度的概念,针对多个专家对同一个对象的决策不是完全一致的情形进行复合粗糙群决策。实例表明:该方法可明显提高装备送修等级决策的准确率,提高远程测试与支援的效率。In the application of distributing remote test and support system,the poor datum and the network quality always caused the test information incomplete problem during remote test and the multi-experts decision collision and cooperation always caused the multi-resource decision-making problem during remote support.The paper promoted the rough group decision-making method,which used the similar relation expressed the incomplete information system and avoided the information distortion by optimal complete selection method.The rough group decision-making with decision support degree was used on the multi-experts decision making.The result of the experiment showed the method could notably improved the accuracy rate of equipment maintenance level decision-making.

关 键 词：远程测试 远程支援 信息不完备 信息不协调 粗糙群决策 

分 类 号：TP806[自动化与计算机技术—检测技术与自动化装置]