Crisp-fuzzy representation of Allen's temporal logic

Nor Azlinayati Abdul Manaf, and M. Reza Beikzadeh, (2007) Crisp-fuzzy representation of Allen's temporal logic. In: Proceedings of the IASTED International Conference on Artificial Intelligence and Applications. IASTED International Conference on Artificial Intelligence and Applications Location: Innsbruck, AUSTRIA . ACTA Press Anaheim, CA, USA, pp. 174-179. ISBN 978-0-88986-629-4

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Official URL: http://dl.acm.org/citation.cfm?id=1295333

Abstract

Allen's interval algebra is a powerful tool in reasoning temporal knowledge. At any moment of time, one and only one of the thirteen possible relations of Allen's interval algebra can exist between two intervals. However the disjunction relation between two intervals is only represented in terms of qualitative information. It is very hard to determine the degree of each relation. In this paper we introduce a new approach to model the uncertain information of Allen's temporal interval relations. This model adapts the concept of fuzzy set into the classical Allen's Temporal Logic (ATL) that is powerful enough to express the imprecise relations between the temporal intervals. The classical temporal network has been extended to accommodate the CriFuzz-ATL model.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 07 Oct 2011 06:33
Last Modified: 15 Nov 2013 03:48
URI: http://shdl.mmu.edu.my/id/eprint/3175

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