DocumentCode
2139888
Title
The nuanced relational division
Author
Mouaddib, Noureddine
Author_Institution
Centre de Recherche en Inf. de Nancy, Vandoeuvre, France
fYear
1993
fDate
1993
Firstpage
1419
Abstract
The author attempts an extension of relational databases in order to represent fuzzy data with a new data type that introduces termed nuanced information and to give a new definition of the relational division operator to take into account the nuance information. The new operator is called the nuanced relational division. It is shown that this new operator resolves the problem of the identification of an observed object among a set of known objects of the databases to introduce weights on attributes for expressing the pertinence in known objects and the trust in the observed object. This analysis is based on probability theory and fuzzy set theory
Keywords
database theory; fuzzy logic; fuzzy set theory; probability; relational databases; fuzzy data; fuzzy set theory; nuanced relational division; observed object identification; probability theory; relational databases; Database languages; Fuzzy set theory; Measurement uncertainty; Possibility theory; Relational databases; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0614-7
Type
conf
DOI
10.1109/FUZZY.1993.327601
Filename
327601
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