期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B2
页码：258-262
出版社：Copernicus Publications
摘要：Although uncertainties exist in spatial knowledge discovery, they have not been paid much attention to. In the past years, the most researches of spatial knowledge discovery focused on the methods of data mining and its algorithms. In this paper, uncertainty and its propagation of spatial data are discussed and analysed firstly. Then, uncertainties at various stages of spatial knowledge discovery are briefly analysed, including data selection, data preprocessing, data mining, knowledge representation and uncertain reasoning. Thirdly, a method of spatial knowledge discovery in conjunction with uncertain reasoning by means of fuzzy evidence theory is proposed. Herein, the framework for uncertainty handling in spatial knowledge discovery is constructed, and the fundamental issues include soft discretization of spatial data, fuzzy transformation between quantitative data and qualitative concept, reasoning under uncertainty and uncertain knowledge representation
