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Imprecise Temporal Interval Relations

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Fuzzy Logic and Applications (WILF 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3849))

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Abstract

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.

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References

  1. Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26(11), 832–843 (1983)

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  2. Dubois, D., Prade, H.: Processing Fuzzy Temporal Knowledge. IEEE Transactions on Systems, Man, and Cybernetics 19(4), 729–744 (1989)

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  3. Schockaert, S., De Cock, M., Cornelis, C.: Relatedness of Fuzzy Sets. To appear in: Journal of Intelligent and Fuzzy Systems

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  4. Nagypál, G., Motik, B.: A Fuzzy Model for Representing Uncertain, Subjective and Vague Temporal Knowledge in Ontologies. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS, vol. 2888, pp. 906–923. Springer, Heidelberg (2003)

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  5. Ohlbach, H.J.: Relations Between Fuzzy Time Intervals. In: Proc. of the 11th Int. Symp. on Temporal Representation and Reasoning, pp. 44–51 (2004)

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© 2006 Springer-Verlag Berlin Heidelberg

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Schockaert, S., De Cock, M., Kerre, E.E. (2006). Imprecise Temporal Interval Relations. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_13

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  • DOI: https://doi.org/10.1007/11676935_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32529-1

  • Online ISBN: 978-3-540-32530-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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