Data association algorithm based on intuitionistic fuzzy clustering
Lei Lei · Journal of Computer Applications · 2011
To deal with the uncertainty of multi-sensor observations,a new data association algorithm based on intuitionistic fuzzy clustering was proposed.The clustering algorithm of improved Intuitionistic Fuzzy C-Means(IFCM) was applied to data association in the proposed algorithm.Firstly,the observed data and predicted data were made to be intuitionistic fuzzy.Then the weighted distance between intuitionistic fuzzy sets was calculated to acquire membership degrees of observation and track.Finally,the highest degree of membership was sought successively to associate observation and track.The simulation results show that the presented algorithm can associate data with the fuzzy observations effectively.