Rough model is proposed to model vague geographic objects based on the definition of rough regions, lower approximation regions, upper approximation regions and boundary regions. With the combination of rough model and RCC-D-8, which is a discrete version of RCC extended into two-dimensional discrete space (Z(2)), 599 topological relations are got between simple vague geographic objects in raster regions described by intersection and containing matrix.Computer Science, Artificial IntelligenceCPCI-S(ISTP)
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Abstract — Various intelligent systems rely heavily on formalisms for spatial representation and rea...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
The uncertain regions are modeled by broad boundary regions, while the description and reasoning of ...
4th International Conference, RSCTC 2004, Uppsala, 1-5 June 2004Rough set is a new approach to uncer...
在粗糙集的基本概念上定义了二维离散空间中的粗糙区域和粗糙模型,基于粗糙模型描述了二维离散空间中的模糊地理对象,并给出了粗糙区域的类型.在RCC-D-8的基础上,依据模糊地理对象拓扑关系之间的概念临近及...
2002-2003 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
AbstractIn spatial data models for various applications, such as geographical information systems (G...
Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. How...
AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts....
Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of...
AbstractIn this paper, we generalized the notions of rough set concepts using two topological struct...
AbstractThis paper investigates the relationship between topology and generalized rough sets induced...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Abstract — Various intelligent systems rely heavily on formalisms for spatial representation and rea...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
The uncertain regions are modeled by broad boundary regions, while the description and reasoning of ...
4th International Conference, RSCTC 2004, Uppsala, 1-5 June 2004Rough set is a new approach to uncer...
在粗糙集的基本概念上定义了二维离散空间中的粗糙区域和粗糙模型,基于粗糙模型描述了二维离散空间中的模糊地理对象,并给出了粗糙区域的类型.在RCC-D-8的基础上,依据模糊地理对象拓扑关系之间的概念临近及...
2002-2003 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
AbstractIn spatial data models for various applications, such as geographical information systems (G...
Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. How...
AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts....
Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of...
AbstractIn this paper, we generalized the notions of rough set concepts using two topological struct...
AbstractThis paper investigates the relationship between topology and generalized rough sets induced...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Abstract — Various intelligent systems rely heavily on formalisms for spatial representation and rea...