This paper concerns the modeling of imprecision, vagueness, and uncertainty in databases through an extension of the relational model of data: the fuzzy rough relational database, an approach which uses both fuzzy set and rough set theories for knowledge representation of imprecise data in a relatio
Uncertainty in a nested relational database model
โ Scribed by Adnan Yazici; Alper Soysal; Bill P. Buckles; Fred E. Petry
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 651 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0169-023X
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โฆ Synopsis
Some database models have already been developed to deal with complex values but they have constrains that data stored is precise and queries are crisp. However, as many researchers have pointed out, there is a need to present, manipulate, and query complex and uncertain data of various non-traditional database applications such as oceanography, multimedia, meteorology, oce automation systems, engineering designs, expert database systems and geographic information systems. In this paper, we present a logical database model, which is an extension of a nested relational data model (also known as an NF 2 data model), for representing and manipulating complex and uncertain data in databases. We also introduce a possible physical representation of such complex and uncertain values in databases and describe the query processing of the model that we discuss here.
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