Dynamic selection could be transformed into a classification issue

which usually includes incomplete and uncertain information.This paper proposed an implementation program based on multiple classifier fusion rules and gambling.This method could not only reduce the difficulty of decision making problem with incomplete

uncertain and subjective information effectively

but also resolve the problem of dynamic resource selection.Case study showed that the new method was feasible

practical.