协调优势粗糙集方法及其在UCAV目标威胁估计中的应用  

A consistent dominance rough sets method and its application in threat assessment of UCAV's targets

作　　者：蔡佳[1] 胡杰[2] 黄长强[1] 

机构地区：[1]空军工程大学工程学院 [2]94857部队77分队

出　　处：《系统工程理论与实践》2012年第6期1377-1384,共8页Systems Engineering-Theory & Practice

摘　　要：针对一般粗糙集方法不能由有限数据给出完整决策规则的问题,定义了正协调、负协调和混合协调决策信息系统,研究了正协调系统的优势关系决策规则获取方法,在此基础上提出了负协调和混合协调系统的优势关系决策规则获取方法,形成了协调决策信息系统的优势粗糙集方法,即协调优势粗糙集方法.将该方法应用到无人战斗机目标威胁估计中,建立了无人战斗机目标威胁估计决策信息系统,分析了目标属性的偏好性,给出了决策算法,对算法的复杂度进行了分析,并与Greco优势粗糙集方法进行了比较.结果表明:该方法简单可行,得到的确定性决策规则可以涵盖目标条件属性的所有取值,有效地解决了决策规则的不完备性.Aiming at the problem that the general rough sets can not present complete decision-making rules from limited data, the positive, negative and mixed consistent decision-making information system were defined. Method of obtaining rules for positive consistent system based on dominance relation was researched. Based on this, methods of obtaining rules for negative and mixed consistent systems based on dominance relation were put forward. A dominance rough sets method for consistent decision-making information system was then presented. The method was applied in the threat assessment of UCAV＇s targets. Decision-making information system for threat assessment of UCAV＇s targets was established. Preference of targets＇ attributes was analyzed. Decision-making algorithm was given, complexity of which was analyzed, and compared with dominance rough sets of Greco. Results show that the method is simple and rules can cover all values of the attributes.

关 键 词：协调 优势 粗糙集 无人战斗机 威胁估计 

分 类 号：V279[航空宇航科学与技术—飞行器设计]