In order to classify the target samples of diverse importance much more precisely according to the predefined importance of samples in antimissile system

a technique for target recognition based on intuitionistic fuzzy kernel matching pursuit (IFKMP) is proposed.With the help of the advantages of kernel matching pursuit (KMP) and least-squares loss function

intuitionistic fuzzy kernel matching pursuit learning machine (IFKMPLM) is devised and built based on least-squares loss function

which is expanded to any non-squares loss function

following with IFKMPLM based on that build.Ascribing to transforming intuitionistic fuzzy parameter into a renewed form of intuitionistic fuzzy function

the algorithm for ascertaining intuitionistic fuzzy function is also presented

serving for the appointed important target samples possessing much more precise.An extensive experimental comparison among KMP

FKMP

and IFKMP performed on linear and homocentric circle samples

respectively

shows its superiority over others

moreover

the recognition results of the practical target samples prove the high efficiency of the proposed technique.