基于模糊-粗糙集的移动对象k近邻预测

目的：建立复方氨酚烷胺胶囊的最佳溶出度方法。方法：采纳了《国家药品标准》第16册复方氨酚烷胺片的溶出度介质，通过转速和取样时间的选择，确定了复方氨酚烷胺胶囊的溶出度方法。同时对方法的回收率和线性进行了考察。结果：采用转篮法，以盐酸溶液（9～1000）1000mL为溶出介质，转速75r·min^-1，溶出时间为15min。取样后采用紫外可见分光光度法，在257nm波长处测定吸光度，按对乙酰氨基酚（C8H9NO2）吸收系数（E1cm^1%）715计算各粒的溶出量。结论：本方法符合溶出度方法的建立原则，可控制复方氨酚烷胺胶囊的内在质量。

Fuzzy-Rough Sets for Prediction of Moving Objects' K-Nearest Neighbor

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.