Abstract: 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.