Techniques for Threat Assessment Based on Adaptive Intuitionistic Fuzzy Reasoning
Lei Ying-jie①②; Wang Bao-shu①; Lu Yan-li②
①School of Computer Science and Engineering, Xidian University, Xi’an 710071, China;②Missile Institute, Air Force Engineering University, Sanyuan 713800, China
Abstract：To the issues of threat assessment (TA), a technique for TA based on Adaptive Neuro-Intuitionistic Fuzzy Inference System (ANIFIS) is proposed with intuitionistic fuzzy set theory introduced into the area of information fusion. First, the properties and vulnerabilities of the existing TA methods are analyzed. A model for TA on ANIFIS with Takagi-Sugeno type is established. Then, the attribute functions, i.e. membership and nonmembership functions, and the inference rules of the system variables are devised with computational relations between layers of input and output and a synthesized computational expression of system outputs ascertained. Subsequently, an analysis of global approximation property of the model is performed with a learning algorithm of neural net devised. Finally, the validity of the technique is checked and rationality of constructed model is verified by providing TA instances with 20 typical targets. The simulated results show that this method can enhance creditability of TA and improve quality of assessment with precision of synthetic values in reasoning output.
雷英杰; 王宝树; 路艳丽. 基于自适应直觉模糊推理的威胁评估方法[J]. 电子与信息学报, 2007, 29(12): 2805-2809 .
Lei Ying-jie; Wang Bao-shu; Lu Yan-li. Techniques for Threat Assessment Based on Adaptive Intuitionistic Fuzzy Reasoning. , 2007, 29(12): 2805-2809 .
2007, Vol. 29 
