GIS中属性不确定性的处理方法及其发展

Abstract

属性数据的不确定直接影响决策的准确性和可靠性 ,特别是对侧重于属性分析的领域。在研究属性不确定性的基础上 ,分析了GIS中的主要处理方法及其研究进展 ,具体地就基于GIS的模型、概率论及数理统计学、模糊集合、云理论、粗集等方法及进展进行讨论。 Attribute uncertainty can directly affect the quality of GIS-based decision making. In this paper, the theories and methods to study the attribute uncertainty and their developments are discussed. And a number of theories and methods have been developed to deal with attribute uncertainties. These may include, for example, GIS-based models; probability theory and statistics-based statistical theories; fuzzy sets, rough sets and cloud theory based soft computing. These theories and methods for describing attribute uncertainties in GIS data are reviewed and analyzed. Furthermore, the future developments of the research in these areas are also briefly summarized.