Title :
Subqueries in SQLf, a fuzzy database query language
Author_Institution :
IRISA
Abstract :
This paper is mainly concerned with the extension of database management systems querying capabilities, so that users may address queries involving preferences and get discriminated answers. The use of flexible (gradual) predicates interpreted in the framework of the fuzzy set theory is advocated for defining a query language, called SQLf. SQLf enlarges the functionalities offered by SQL and the various roles of subqueries are presented from both semantic and query processing points of view
Keywords :
SQL; database management systems; fuzzy set theory; query languages; query processing; SQLf; database management systems; discriminated answers; fuzzy database query language; fuzzy set theory; preferences; query language; query processing; querying capabilities; Calibration; Data models; Database languages; Fuzzy set theory; Fuzzy sets; Information retrieval; Object oriented databases; Relational databases; Research and development; Uncertainty;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538352
