Constraint propagation algorithms for temporal reasoning: a revised report
Readings in qualitative reasoning about physical systems
Artificial Intelligence - Special issue on knowledge representation
Combining qualitative and quantitative constraints in temporal reasoning
Artificial Intelligence
From local to global consistency in temporal constraint networks
Theoretical Computer Science - Special issue: principles and practice of constraint programming
Processing disjunctions in temporal constraint networks
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Fuzzy temporal constraint logic: a valid resolution principle
Fuzzy Sets and Systems
Syntax and Semantics for a Fuzzy Temporal Constraint Logic
Annals of Mathematics and Artificial Intelligence
On point-duration networks for temporal reasoning
Artificial Intelligence
Hybrid temporal reasoning for planning and scheduling
TIME '96 Proceedings of the 3rd Workshop on Temporal Representation and Reasoning (TIME'96)
Reasoning with Disjunctive Fuzzy Temporal Constraint Networks
TIME '02 Proceedings of the Ninth International Symposium on Temporal Representation and Reasoning (TIME'02)
Reasoning with Numeric and Symbolic Time Information
Artificial Intelligence Review
The design and experimental analysis of algorithms for temporal reasoning
Journal of Artificial Intelligence Research
Temporal constraint reasoning with preferences
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
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In this work we address the problem of representing and reasoning with temporal knowledge in a very general and flexible manner. To this aim we propose a model of integration of quantitative and qualitative temporal information affected by vagueness and uncertainty. We extend our fuzzy qualitative temporal framework IA fuz integrating the treatment of fuzzy quantitative constraints modeled as trapezoidal distributions. To do this, we extend the treatment of fuzzy temporal constraints considered in the literature and we generalize in a fuzzy direction the classical hybrid approach of temporal constraints integration proposed by Meiri. To show the full expressiveness of the new system, we apply it to represent the fuzzy temporal knowledge in a typical scheduling example.