An Extended Relational Database Model for Uncertain and Imprecise Information.
Suk Kyoon Lee:
An Extended Relational Database Model for Uncertain and Imprecise Information.
VLDB 1992: 211-220@inproceedings{DBLP:conf/vldb/Lee92,
author = {Suk Kyoon Lee},
editor = {Li-Yan Yuan},
title = {An Extended Relational Database Model for Uncertain and Imprecise
Information},
booktitle = {18th International Conference on Very Large Data Bases, August
23-27, 1992, Vancouver, Canada, Proceedings},
publisher = {Morgan Kaufmann},
year = {1992},
isbn = {1-55860-151-1},
pages = {211-220},
ee = {db/conf/vldb/Lee92.html},
crossref = {DBLP:conf/vldb/92},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
We propose an extended relational database model which can model both uncertainty and imprecision in data.
This model is based on Dempster-Shafer theory which has become popular in AI asan uncertainty reasoning tool.
The definitions of Bel and Pls functions in Dempster-Shafer theory are extended to compute the beliefs of various comparisons (e.g., equality, less than, etc.) between two basic probability assignments.
Based on these new definitions of Bel and Pls functions and the Boolean combinations of Bel and Pls values for two events, five relational operators such as Select, Cartesian Product, Join, Projection Intersect, and Union are defined.
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Printed Edition
Li-Yan Yuan (Ed.):
18th International Conference on Very Large Data Bases, August 23-27, 1992, Vancouver, Canada, Proceedings.
Morgan Kaufmann 1992, ISBN 1-55860-151-1
Contents
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Copyright © Tue Mar 16 02:22:02 2010
by Michael Ley (ley@uni-trier.de)