Fuzzy-Rough Sets for Prediction of Moving Objects'''' K-Nearest Neighbor
基于模糊-粗糙集的移动对象k近邻预测

There are many analyses on the diversified uncertainty and many disposals on the uncertainty of objects' predicted position in the previous study of the prediction of moving objects' k-nearest neighbor.But there have not been any measure to deal with the rough-uncertainty of moving objects' k-nearest neighbor set,which is caused by the fuzzy-uncertainty of moving objects' predicted position.In this paper,the theory of fuzzy-rough sets is employed to analyze the fuzzy position of the moving objects and its extended k m nearest neighbor set.Also,the fuzzy-rough membership function is employed to obtain thefinal k-nearest neighbor set.A comparison between the processed result and the initial result is made by experiments.Compared to the actual position of the moving objects,the analysis based on the theory of fuzzy-rough sets can promote the precision of its k-nearest neighbor set distinctly.