A decentralized fusion algorithm based on fuzzy adaptive interacting multiple model (LMM) algorithm is proposed. Some parameters in the model-set are adjusted online by fuzzy inference system so that the model-set adaptive capability can be greatly improved in various target maneuvering patterns, and simultaneously the model conflicts caused by traditional IMM algorithm can be avoided and the computation load decreased. Simulation results show the effectiveness of the proposed algorithm.