Topological relations between fuzzy regions
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
A multiple criteria decision support system for testing integrated environmental models
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
Principles and Applications
Imprecision in Finite Resolution Spatial Data
Geoinformatica
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Mining spatial association rules in image databases
Information Sciences: an International Journal
Information Sciences: an International Journal
Group decision making based on multiple types of linguistic preference relations
Information Sciences: an International Journal
Modeling and querying fuzzy spatiotemporal databases
Information Sciences: an International Journal
Fuzzying GIS topological functions for GIR needs
Proceedings of the 2nd international workshop on Geographic information retrieval
Expert Systems with Applications: An International Journal
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Spatial analysis is at the basis of several decision processes in fields such as urban planning and environmental management. In order to carry it out effectively more flexible Geographic Information Systems are needed to be able to represent and manage the imperfection that invariably affects geographic information. Starting from the consideration that experts usually deal with imperfect spatial information through linguistic terms (e.g., they identify the approximate position of a phenomenon on a map and classify spatial properties through linguistic labels), this contribution proposes the use of linguistic granule of information to represent and manage imperfect spatial information. A fuzzy object-based data model is proposed as a tool for supporting spatial analysis based on the management of linguistic granule. In particular, the problem of defining methods to manage imperfect information depending on the type of imperfection is discussed. Finally, an example of spatial analysis applied to support a decision problem in environmental impact assessment is described.