A Comparison of Approaches to Model Uncertainty in Time Intervals
Christophe Billiet, Jose Enrique Pons, Olga Pons, Guy De Tre
Available Online August 2013.
- https://doi.org/10.2991/eusflat.2013.95How to use a DOI?
- temporal representation temporal reasoning possibility theory information systems information retrieval ill-known intervals uncertainty
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.95 DO - https://doi.org/10.2991/eusflat.2013.95 ID - Billiet2013/08 ER -