DocumentCode :
3143273
Title :
Imprecise and uncertain information in databases: an evidential approach
Author :
Lee, Suk Kyoon
Author_Institution :
Dept. of Comput. Sci., Iowa Univ., Iowa City, IA, USA
fYear :
1992
fDate :
2-3 Feb 1992
Firstpage :
614
Lastpage :
621
Abstract :
A novel approach for representing imprecise and uncertain data and evaluating queries in the framework of an extended relational database model based on the Dempster-Shafer theory of evidence is proposed. Because of the ability to combine evidences from different sources, the semantics of the update operation of imprecise or uncertain data is reconsidered. By including an undefined value in a domain, three different cases of a null value are presented: unknown, inapplicable, and unknown or inapplicable. In this model, two levels of uncertainty in the database are supported: one is for the attribute value level and the other is for the tuple level
Keywords :
database theory; relational databases; uncertainty handling; Dempster-Shafer theory; attribute value; databases; evaluating queries; evidence; evidential approach; extended relational database model; tuple level; uncertain information; update operation; value; Cities and towns; Computer science; Database systems; Entropy; Fuzzy set theory; Fuzzy sets; Measurement uncertainty; Null value; Possibility theory; Relational databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1992. Proceedings. Eighth International Conference on
Conference_Location :
Tempe, AZ
Print_ISBN :
0-8186-2545-7
Type :
conf
DOI :
10.1109/ICDE.1992.213147
Filename :
213147
Link To Document :
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