Uncertainty management issues in the object-oriented data model

Author

George, Roy ; Srikanth, Radhakrishnan ; Petry, Fred E. ; Buckles, Bill P.

Author_Institution

Dept. of Comput. Sci., Clark Atlanta Univ., GA, USA

Volume

4

Issue

2

fYear

1996

fDate

5/1/1996 12:00:00 AM

Firstpage

179

Lastpage

192

Abstract

This paper fully develops a previous approach by George et al. (1993) to modeling uncertainty in class hierarchies. The model utilizes fuzzy logic to generalize equality to similarity which permitted impreciseness in data to be represented by uncertainty in classification. In this paper, the data model is formally defined and a nonredundancy preserving primitive operator, the merge, is described. It is proven that nonredundancy is always preserved in the model. An object algebra is proposed, and transformations that preserve query equality are discussed

Keywords

fuzzy logic; knowledge representation; object-oriented databases; pattern classification; query processing; relational algebra; uncertainty handling; classification; database management systems; equality; fuzzy logic; nonredundancy preserving primitive operator; object algebra; object-oriented data model; query equality; uncertainty management; Application software; Computer aided software engineering; Computer science; Data models; Database languages; Database systems; Knowledge representation; Object oriented modeling; Uncertainty; Very large scale integration;

fLanguage

English

Journal_Title

Fuzzy Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-6706

Type

jour

DOI

10.1109/91.493911

Filename

493911