Maintaining knowledge about temporal intervals
Communications of the ACM
Relations Between Fuzzy Time Intervals
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Dedicated to the 60th birthday of Etienne E. Kerre
Temporal reasoning about fuzzy intervals
Artificial Intelligence
Qualitative temporal reasoning about vague events
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient algorithms for fuzzy qualitative temporal reasoning
IEEE Transactions on Fuzzy Systems
Question answering with imperfect temporal information
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper we propose a representation for 13 relations that can hold between intervals. Since our model is based on fuzzy orderings of time points, it is not only suitable to express precise relationships between imprecise events (“the mid 1930's came before the late 1930's) but also imprecise relationships (“the late 1930's came long before the early 1990's). Furthermore we show that our model preserves many of the properties of the 13 relations Allen introduced for crisp time intervals.