This paper concerns the modelling of fuzzy information in geographic databases. In the past, a theoretical model for fuzzy regions has been presented, along with various operations useful in a geographic database: union, intersection, topology, bounding rectangle, etc. and feasible models for implementation based on this theoretical model. Now, the attention is directed at some of the problems that can occur when determining numerical properties of fuzzy regions: what type of result is expected (and desired), and how does this impact the definitions of the operations. As an example, the definition of the surface area of a fuzzy set is studied in more detail
© Published under licence by IOP Publishing Ltd. The paper discusses modeling and methods of data vi...
Many geographical applications have to deal with spatial objects that reveal an intrinsically vague ...
In the concept of fuzzy regions we introduced before, a region was considered to be a fuzzy set of p...
This paper concerns the modelling of fuzzy information in geographic databases. In the past, a theor...
This paper concerns the modelling of fuzzy information in geographic databases. In the past, a theor...
This contribution concerns the modelling of fuzzy information in geographic databases. For this purp...
This contribution concerns the modelling of fuzzy information in geographic databases. For this purp...
Traditionally, information in geographic information systems (GIS) is represented as crisp informati...
Traditionally, information in geographic information systems (GIS) is represented as crisp informati...
Traditionally, information in geographic information systems (GIS) is represented as crisp informati...
Fuzzy regions are a concept allowing the uncertain or imprecise spatial data to be represented. Many...
In many applications, spatial data is often prone to uncertainty and imprecision. To model this, fuz...
Traditional databases can manage only crisp information, a limitation that also holds for geographic...
Traditional databases can manage only crisp information, a limitation that also holds for geographic...
In many applications, spatial data often are prone to uncertainty and imprecision. To model this, fu...
© Published under licence by IOP Publishing Ltd. The paper discusses modeling and methods of data vi...
Many geographical applications have to deal with spatial objects that reveal an intrinsically vague ...
In the concept of fuzzy regions we introduced before, a region was considered to be a fuzzy set of p...
This paper concerns the modelling of fuzzy information in geographic databases. In the past, a theor...
This paper concerns the modelling of fuzzy information in geographic databases. In the past, a theor...
This contribution concerns the modelling of fuzzy information in geographic databases. For this purp...
This contribution concerns the modelling of fuzzy information in geographic databases. For this purp...
Traditionally, information in geographic information systems (GIS) is represented as crisp informati...
Traditionally, information in geographic information systems (GIS) is represented as crisp informati...
Traditionally, information in geographic information systems (GIS) is represented as crisp informati...
Fuzzy regions are a concept allowing the uncertain or imprecise spatial data to be represented. Many...
In many applications, spatial data is often prone to uncertainty and imprecision. To model this, fuz...
Traditional databases can manage only crisp information, a limitation that also holds for geographic...
Traditional databases can manage only crisp information, a limitation that also holds for geographic...
In many applications, spatial data often are prone to uncertainty and imprecision. To model this, fu...
© Published under licence by IOP Publishing Ltd. The paper discusses modeling and methods of data vi...
Many geographical applications have to deal with spatial objects that reveal an intrinsically vague ...
In the concept of fuzzy regions we introduced before, a region was considered to be a fuzzy set of p...