Fuzzy Clustering Method Based on Motorial Parameter of Fighting Entity
Zhao Ding-hai · Journal of Academy of Armored Force Engineering · 2008
The creditability of clustering based on position is reduced because of the expanding of battlefield and scattering of fighting entity. The entities, which take on the same mission, always move with similar motorial rules in order to keep their form of team. Thus, clustering based on entity′s motorial parameters, such as position, velocity and acceleration, can solve the problems resulting from position scattering. First of all, normalization on motorial parameters should be preceded. Then the fuzzy equivalence matrix should be constructed. Finally, result of clustering on different organic grades can be calculated based on different truncation levels. The clustering effect is satisfactory to simulated data and is helpful for commander to analyze and estimate the situation of battlefield.