A method of threaten ordering based on cloud model theory
Xin Wen Yu, Hua Wang, Licheng Jiao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Situation assessment (SA) is a complex decision-making process in modern aerial defense system. Threaten ordering (TO) problem is one of the most difficult steps in SA. There are a lot of uncertain factors in TO, and traditional evaluation methods have some disadvantages on algorithm measures. To overcome these disadvantages, a method of TO based on cloud model theory is proposed. Firstly the factors of air-targets threat evaluation are analyzed in this paper. Then the reasoning mechanism base on cloud model is designed. In this step the cloud model is used to depict the attributes of target, the model parameters are defined, and the reasoning rule library is established by using the method of Multiple Attribute Decision Making (MADM). The data of targets were input to the reasoning mechanism, and the threat value was gained. Finally the simulation experiments are given to verify the validity of the method.