基于直觉模糊推理的威胁评估改进算法

Improved Algorithm of Threat Assessment Based on Intuitionistic Fuzzy Reasoning

针对实战系统中的威胁评估问题,提出一种基于直觉模糊推理的改进算法。设计系统状态变量的三角型隶属度和非隶属度函数,给出详细的计算步骤,将包含可信度的推理规则植入评估系统,当系统有输入时,即可进行威胁评估值的直觉模糊推理计算。实战数据仿真结果证明了该算法的有效性。

Aiming at the problem of threat assessment in actual combat area, an improved technique for threat assessment based on intuitionistic fuzzy reasoning is proposed. The triangle membership and non membership functions for input/output state variables are devised, expressions of variables are presented by precisely calculated, and the inference rules of the system which including confidence factors are embedded into assessment system. The threat assessment system based on intuitionistic fuzzy reasoning can go into operation when it has inputs. The validity of the algorithm is proved by actual combat targets data.