The development of fuzzy sets in geographic information systems (GIS) arose out of the
need to handle uncertainty and the ability of soft computing technology to support fuzzy …

Representation and reasoning with qualitative spatial relations is an important problem in
artificial intelligence and has wide applications in the fields of geographic information …

空间关系形式化模型的发展是空间推理, 地理信息系统(geographic information systems,
简称GIS), 计算机视觉等领域中的一个非常重要的主题, 近年来受到相关领域研究者的极大关注 …

Vagueness is often present in spatial phenomena. Representing and analysing vague
spatial phenomena requires vague objects and operators, whereas current GIS and spatial …

Although the region connection calculus (RCC) offers an appealing framework for modelling
topological relations, its application in real-world scenarios is hampered when spatial …

Systems of relations between regions are an important aspect of formal theories of spatial
data. Examples of such relations are part-of, partially overlapping, and disjoint. One …

Spatial data uncertainty is an important subfield of geographic information science
(GIScience). Uncertainty is used as an umbrella term to encompass data quality, accuracy …

Uncertainty management for geometric data is a fundamental issue for spatial databases,
image databases, and spatial data systems, such as geographic information systems …

Qualitative spatial information plays a key role in many applications. While it is well-
recognized that all but a few of these applications deal with spatial information that is …

This paper presents an approach to the discovery of association rules for fuzzy spatial data.
Association rules provide information of value in assessing significant correlations that can …