A Comparison of Approaches to Model Uncertainty in Time Intervals

DOI

10.2991/eusflat.2013.95How to use a DOI?

Keywords

temporal representation temporal reasoning possibility theory information systems information retrieval ill-known intervals uncertainty

Abstract

Information systems model parts of reality by representing properties of real-world objects or concepts. As real objects or concepts often have temporal aspects, temporal notions such as time intervals are often represented. However, these may contain imperfections like uncertainties, complicating their representations. A very important purpose of information systems is to be able to query them to retrieve information, but representations of temporal notions containing uncertainties severely complicate querying. Thus, several soft computing techniques have been proposed to represent time intervals subject to uncertainties in a semantically sound way and to reason with them in a semantically sound and usefull way. In the presented work, two frameworks designed for this are compared. It is found that, despite slight differences in the way these frameworks represent intervals, they provide the same results when reasoning about time intervals subject to uncertainty.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Christophe Billiet
AU  - Jose Enrique Pons
AU  - Olga Pons
AU  - Guy De Tre
PY  - 2013/08
DA  - 2013/08
TI  - A Comparison of Approaches to Model Uncertainty in Time Intervals
BT  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 666
EP  - 673
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.95
DO  - 10.2991/eusflat.2013.95
ID  - Billiet2013/08
ER  -