Title :
The nuanced relational division
Author :
Mouaddib, Noureddine
Author_Institution :
Centre de Recherche en Inf. de Nancy, Vandoeuvre, France
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;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327601
