基于粗糙集的机载武器智能选择决策方法  

Decision Method of Intelligent Selection for Air-Borne Weapon Based on Rough Set

作　　者：鲁卿[1] 胡俊华[1] 齐晓林[1] 冯金富[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《火炮发射与控制学报》2008年第1期15-19,共5页Journal of Gun Launch & Control

基　　金：国家自然科学基金资助(50476043)

摘　　要：机载外挂物管理系统智能化发展要求系统智能决策能力,由于决策因素的复杂性,一般决策方法在应用中受到较大限制。依据Pawlak提出的粗糙集理论,建立了完备信息系统多因素粗糙集决策方法,并在原有粗糙集属性约简和规则获取算法的基础上,设计完备信息系统下最小规则约简集获取算法。以某型飞机为例,运用该粗糙集决策方法建模实现了机载武器智能选择,证明了该方法在外挂物管理系统智能决策实现的有效性。Intelligent development of air-borne external stores management system requires the system to have the ability of intelligent decision. Because of complexity of decision factors, general methods often have large limitations in the application. According to Pawlak＇s rough set theory, the decision making method of multi-factor rough set in the complete information system was established. Based on the traditional attribution reducing method and decision rule extraction algorithm of rough set, a rule-generation algorithm to generate a minimal set of rule reducing from the complete information system was proposed. Taking a type of aircraft as example, intelligent selection of air-borne weapon was realized by use of module of rough set decision method. The result showed that the proposed method is effective in the process of realization of intelligent decision for external stores management system.

关 键 词：人工智能 粗糙集 机载武器 规则获取 智能决策 外挂物 管理系统 

分 类 号：TJ397[兵器科学与技术—火炮、自动武器与弹药工程]