模糊信息处理的道路网匹配方法

A matching method of road network based on fuzzy information processing

针对传统的道路网匹配方法用阈值来决定待匹配对象的匹配关系,无法准确实现匹配判定的问题,该文提出了一种基于模糊信息处理的道路网匹配方法:在道路网数据论域中讨论模糊集合,通过置信水平判定模糊集合是否为空,从而判定匹配关系,较好地结合了匹配对象间匹配关系的模糊性与模糊数学的数据处理知识。基于两组数据的实验结果标明:所提方法不仅打破了设定阈值的常规思想,而且达到了较好的匹配效率,研究结果可以为道路网数据以及空间数据的融合、集成和更新提供参考。

Aiming at the problem that traditional methods of road network matching determine the matching relationship with the threshold, hard to accurately achieve the determination of matching, the paper proposed the method of matching road network based on fuzzy information processing： in the do- main of road network data, fuzzy sets were discussed; the empty of fuzzy set was determined by the confi- dence level, in order to determine the matching relationship, which combines fuzziness between objects to be matched with the knowledge of data pr the method would achieve a better matchi thresholds, which could provide a referen data and spatial data. ocessing in Fuzzy Mathematics. Experimental result showed that ng efficiency with breaking the conventional thinking of setting ce for studying the fusion, integrate and update of road network