Abstract:

A kernel based intuitionistic fuzzy clustering algorithm named IFKCM is proposed on the basis of analyzing the deficiency of the existing clustering algorithm. The new algorithm introduces Gauss kernel, improves the constraint conditions and uses the property superiority of dynamic clustering performance, which is also the superiority in Intuitionistic Fuzzy c-means (IFCM) algorithm. Then the experimental result has proved its effectiveness. Subsequently, according to the requirement of target recognition in ballistic midcourse simulation system and the character of the ballistic target recognition, the simulation system named Intuitionistic Fuzzy Kernel c-means —Target Recognition in Ballistic Midcourse (IFKCM-TRBM) is designed and realized. The results of simulation show that the system is reliable and can support the research of target recognition in ballistic midcourse.