An efficient characterization of fuzzy temporal interval relations

Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881, De Cock, Martine and Kerre, Etienne E. 2006. An efficient characterization of fuzzy temporal interval relations. Presented at: 2006 IEEE International Conference on Fuzzy Systems, Vancouver, Canada, Proceedings of the IEEE World Congress on Computational Intelligence (FUZZ-IEEE). 2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5. IEEE, pp. 1894-1901. 10.1109/FUZZY.2006.1681963

Full text not available from this repository.

Abstract

Fuzzy temporal interval relations have been defined to support temporal knowledge representation and reasoning in the presence of vagueness. The most important impediment to use these fuzzy relations in real–world applications is the lack of a characterization that is both easy to implement and computationally efficient. In this paper, we provide such a characterization for the important class of piecewise linear fuzzy time intervals, which covers all types of fuzzy time intervals that we are likely to encounter in applications. Furthermore, we discuss a more elegant characterization for the special case of trapezoidally shaped fuzzy intervals.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Additional Information:	Conference location - Vancouver, BC
Publisher:	IEEE
ISBN:	0780394887
Last Modified:	20 Oct 2022 09:24
URI:	https://orca.cardiff.ac.uk/id/eprint/31817

Citation Data

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item