Referenced Items are not available for this document.
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
Published in:
Fuzzy Systems, IEEE Transactions on
(Volume:4
,
Issue:
2
)
Date of Publication: May 1996
- Page(s):
- 179 - 192
- ISSN :
- 1063-6706
- INSPEC Accession Number:
- 5279383
- Digital Object Identifier :
- 10.1109/91.493911
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1996
- Sponsored by :
- IEEE Computational Intelligence Society
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