基于认知图和直觉模糊推理的态势评估方法  

Situation assessment based on cognitive maps and intuitionistic fuzzy reasoning

作　　者：李闯[1] 端木京顺[1] 雷英杰[1] 高建国[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《系统工程与电子技术》2012年第10期2064-2068,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金(60773209)资助课题

摘　　要：针对战场环境中信息的不确定性和交互关联性问题,将直觉模糊推理理论与认知图推理相结合,提出一种基于认知图和直觉模糊理论的态势评估方法。首先,分析当前认知图推理的特点与不足,建立基于直觉模糊集理论和有序加权平均算子的直觉模糊认知图模型;其次,提出直觉模糊认知图的态势评估推理过程;最后,用实例给出评估结果,验证方法的有效性和正确性。该方法能更准确地描述战场客观环境,为决策者提供更多的决策信息和决策偏好自由度。For the information＇s uncertainty and interrelationship in battlefield environment, by combining the theory of intuitionistic fuzzy reasoning （IFR） and cognitive maps （CM）, a technique for situation assessment （SA） based on CM and IFR is proposed. Firstly, with the analysis of the properties and vulnerabilities of CM, an intuitionistic fuzzy cognitive maps （IFCM） model based on intuitionistic fuzzy set theory and ordered weigh- ted averaging operator is established. Secondly, the steps of SA based on IFCM is proposed. Finally, an SA ex- ample is given to verify the technique. The technique can give a more accurate description of battlefield environ- ment and offers more information and freedom of preference on SA for decision-makers.

关 键 词：直觉模糊集 态势评估 认知图 有序加权平均算子 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]