We present a integrated framework able to handle both quantitative and qualitative constraints affected by vagueness and uncertainty. We merge two existing models: the Meiri’s system [Meiri, 1996] and IAf uz [Badaloni and Giacomin, 2000]; the first approach is generalized with possibility theory, while the second is extended in order to include qualitative constraints. Two traditional solving techniques such as Path- Consistency and Branch and Bound are taken into account. A simple scheduling example shows the main features of the new system.
Qualitative and Quantitative Fuzzy Temporal Constraints
BADALONI, SILVANA;FALDA, MARCO;
2002
Abstract
We present a integrated framework able to handle both quantitative and qualitative constraints affected by vagueness and uncertainty. We merge two existing models: the Meiri’s system [Meiri, 1996] and IAf uz [Badaloni and Giacomin, 2000]; the first approach is generalized with possibility theory, while the second is extended in order to include qualitative constraints. Two traditional solving techniques such as Path- Consistency and Branch and Bound are taken into account. A simple scheduling example shows the main features of the new system.
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