Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. However, it is widely recognized that real-world regions are seldom characterized by a precisely defined boundary. This paper proposes a generalization of the region connection calculus (RCC) which allows to define spatial relations between vague regions. To this end, spatial relations are modelled as fuzzy relations. To support spatial reasoning based on these relations, we give some important properties and a transitivity table. Furthermore, we show how imprecise spatial information can be modelled in our approach when vague regions are represented as fuzzy set
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. How...
Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. How...
Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. How...
Various intelligent systems rely heavily on for malisms for spatial representation and reasoning. Ho...
Abstract — Various intelligent systems rely heavily on formalisms for spatial representation and rea...
AbstractQualitative spatial information plays a key role in many applications. While it is well-reco...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
AbstractQualitative spatial information plays a key role in many applications. While it is well-reco...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. How...
Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. How...
Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. How...
Various intelligent systems rely heavily on for malisms for spatial representation and reasoning. Ho...
Abstract — Various intelligent systems rely heavily on formalisms for spatial representation and rea...
AbstractQualitative spatial information plays a key role in many applications. While it is well-reco...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
AbstractQualitative spatial information plays a key role in many applications. While it is well-reco...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...
Although the region connection calculus (RCC) offers an appealing framework for modelling topologica...