【摘要】 首先分析空间数据的不确定性类型和来源、不确定性度量和传播模型以及空间数据挖掘过程中的不确定性来源。在此基础上 ,把空间数据挖掘整个过程看作为一个复杂的工程控制系统中的线性串联处理系统 ,建立了基于可信度因子的模糊逻辑不确定性传播模型 ,包括可信度因子的获取和表示、组合证据不确定性的合成、不确定性传播和结论不确定性的合成等。最后 ,讨论了空间数据挖掘不确定性处理和传播所涉及的几个关键问题。更多还原

【Abstract】 The types and origins of uncertainty, the models of measuring and propagation are analyzed firstly. Then, some uncertainty factors in operation of spatial data mining are discussed. The process of spatial data mining can be regarded as a complex linear serial processing system in engineering control systems. An uncertainty propagation model for spatial data mining fuzzy logic uncertainty propagation model with creditability factor is developed. In the model the acquirement and the representation of creditability factor, combining the uncertainty of evidences, uncertainty propagation and combining the uncertainty of conclusions are discussed. Finally, several key problems about uncertainty handling and propagation in spatial data mining are discussed.更多还原