Abstract: A new algorithm based on probability collectives was proposed to solve the decisionmaking of multifighter to coordinated attack multitarget without centric control. Firstly, the coordinated distributed decision making model is proposed based on missile which is defined as an agent. To solve an optimization problem in which there is subspace full of local optimal value near the global optimum in the solution space, the new algorithm turns it into a convex problem in a space of probability distributions based on probability collectives. Secondly, the probability collectives framework is extended by agent contribution rate to realize accurate convergence. The simulation results show that as compared with conventional methods, the proposed method is able to converge to the global optimum with more stability, scalability and faster convergence rate.