A general approach to parameter evaluation in fuzzy digital pictures
Pattern Recognition Letters
Boolean connection algebras: a new approach to the Region-Connection Calculus
Artificial Intelligence
A relation — algebraic approach to the region connection calculus
Theoretical Computer Science
From the Egg-Yolk to the Scrambled-Egg Theory
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Region connection calculus: its models and composition table
Artificial Intelligence
On Topological Consistency and Realization
Constraints
A representation theorem for Boolean contact algebras
Theoretical Computer Science
Reasoning about topological relations between regions with broad boundaries
International Journal of Approximate Reasoning
Fuzzy region connection calculus: Representing vague topological information
International Journal of Approximate Reasoning
Fuzzy region connection calculus: An interpretation based on closeness
International Journal of Approximate Reasoning
Spatial reasoning in a fuzzy region connection calculus
Artificial Intelligence
International Journal of Approximate Reasoning
A fuzzy sets theoretic approach to approximate spatial reasoning
IEEE Transactions on Fuzzy Systems
Quantitative analysis of properties and spatial relations of fuzzy image regions
IEEE Transactions on Fuzzy Systems
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The Region Connection Calculus (RCC) is perhaps the most influential topological relation calculus. Based on the first-order logic, the RCC, however, does not fully meet the needs of applications where the vagueness of entities or relations is important and not ignorable. This paper introduces standard models for the fuzzy region connection calculus (RCC) proposed by Schockaert et al. (2008) [18]. Each of such a standard fuzzy RCC model is induced by a standard RCC model in a natural way. We prove that each standard fuzzy RCC model is canonical in the sense that any satisfiable set of fuzzy RCC8 constraints have a solution in it. A polynomial realization algorithm is also provided. As a side product, we show similar sets of fuzzy constraints have similar solutions if both are satisfiable. This allows us to approximate fuzzy RCC constraints that have arbitrary bounds by those have bounds with finite precision.