Imprecise temporal interval relations

  • Authors:
  • Steven Schockaert;Martine De Cock;Etienne E. Kerre

  • Affiliations:
  • Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Gent, Belgium;Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Gent, Belgium;Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Gent, Belgium

  • Venue:
  • WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
  • Year:
  • 2005

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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.