Since its definition in 1965 by Professor L.A. Zadeh fuzzy logic has been used in a large number of domains. Fuzzy algorithms can now be found in various fields such as estimation, decision-making and automatic control. The problem considered here is to estimate with a fuzzy algorithm, the real target of a manoeuvring object moving in a 2D space. Numerical values of position and velocity are either sent by sensors (and therefore considered as noise-corrupted) or estimated by a Kalman filter. The proposed method uses fuzzy logic algorithms to analyze data obtained from different sources.