属性权重不确定的直觉模糊多属性决策的威胁评估方法  

Threat Assessment Method with Uncertain Attribute Weight Based on Intuitionistic Fuzzy Multi-Attribute Decision

作　　者：王毅[1,2] 刘三阳[1] 张文[2] 王亚男[2] 

机构地区：[1]西安电子科技大学数学与统计学院,陕西西安710071 [2]空军工程大学防空反导学院,陕西西安710051

出　　处：《电子学报》2014年第12期2509-2514,共6页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61402517;No.61309022;No.61272011;No.60773209)

摘　　要：在直觉模糊集的框架下,重点研究了目标属性值为区间数且权重完全未知,决策者对方案具有偏好信息的问题,提出一种属性权重不确定的直觉模糊多属性决策的威胁评估方法.首先,针对上述问题,建立了直觉模糊区间判断矩阵,给出了目标属性为区间数的指标值规范化处理方法;其次,分析了决策者对方案中所涉及的目标属性、属性权重及决策者权威度,建立了群决策的方案偏好模型;再次,针对目标属性值在某一区间内变化的特点,给出了直觉模糊区间值的接近度与理想解的定义,建立了最优属性权重约束优化模型;最后,以典型的威胁评估实例验证了该方法可同时反映主观和客观信息对目标威胁评估的影响,可有效避免因部分传感器失效或受外界环境因素影响以及决策者主观经验所带来的偏差,实际目标威胁评估结果验证了该方法的优越性.Under the framework of IFS（Intuitionistic Fuzzy Sets）,aiming at the situation that targets’attributes are interval value,the weights are totally unknown,and decision-makers have preference information,a threat assessment method with uncertain attribute weight based on intuitionistic fuzzy multi-attribute decision is proposed .Firstly,based on the above-mentioned problem,in-tuitionistic fuzzy interval judgment matrix is set up,and a standard interval value index processing method is put forward;secondly, by analyzing the target attribute,attribute weight,and decision-makers’authority degree in project,the preference project model in group decision making is finally constructed;thirdly,according to the attribute’s variety character in interval value,the definition of intuitionistic fuzzy interval value’s similarity and ideal resolve is given,and the optimization attribute weight restriction model is built up;lastly,some typical threat assessment examples are cited to verify that the method can reflect the influence of both subjec-tive and objective information,which can avoid the deviation caused by sensor invalidation,outside environment’s effect,or deci-sion-makers’subjective experience .Finally,the superiority of the method is proved by the threat assessment of some typical targets .

关 键 词：直觉模糊集 区间判断矩阵 多属性决策 威胁评估 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程] TP391[自动化与计算机技术—控制科学与工程]