In this paper, we propose an application of an integrated model for temporal reasoning able to handle both quantitative and qualitative constraints affected by vagueness and uncertainty. The integration is ob- tained by merging two existing mo- dels, i.e. Meiri’s system, that hand- les qualitative and quantitative classical temporal constraints, and our IAf uz , that handles fuzzy qualitative constraints. The first approach is generalized with possibility theory, while the second is extended to include quantitative constraints. We present a practical application of our framework in a simplified problem of investigation.

An Hybrid Fuzzy Temporal Constraint Approach: a Case Study

BADALONI, SILVANA;FALDA, MARCO;
2004

Abstract

In this paper, we propose an application of an integrated model for temporal reasoning able to handle both quantitative and qualitative constraints affected by vagueness and uncertainty. The integration is ob- tained by merging two existing mo- dels, i.e. Meiri’s system, that hand- les qualitative and quantitative classical temporal constraints, and our IAf uz , that handles fuzzy qualitative constraints. The first approach is generalized with possibility theory, while the second is extended to include quantitative constraints. We present a practical application of our framework in a simplified problem of investigation.
2004
Proceedings of the Tenth International Conference IPMU 2004
8887242542
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2447855
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