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17th International Conference on Database and Expert Systems Applications (DEXA'06)
On a Qualitiative Approximate Inclusion -- Application to the Division of Fuzzy Relations
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
ASCII Text
x 
 
PatricK Bosc, Olivier Pivert, "On a Qualitiative Approximate Inclusion -- Application to the Division of Fuzzy Relations," Database and Expert Systems Applications, International Workshop on, pp. 430-434, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/DEXA.2006.100,
author = {PatricK Bosc and Olivier Pivert},
title = {On a Qualitiative Approximate Inclusion -- Application to the Division of Fuzzy Relations},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2006},
issn = {1529-4188},
pages = {430-434},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2006.100},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - On a Qualitiative Approximate Inclusion -- Application to the Division of Fuzzy Relations
SN - 1529-4188
SP430
EP434
A1 - PatricK Bosc,
A1 - Olivier Pivert,
PY - 2006
KW - null
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
PatricK Bosc, IRISA-ENSSAT, France
Olivier Pivert, IRISA-ENSSAT, France
This paper is devoted to an extension of the inclusion operator. The logical view of the inclusion between fuzzy sets rests on the use of fuzzy implications. The idea suggested in this paper is to relax R-implications in order to tolerate low-level intensity exceptions and thus obtain a qualitative approximate inclusion. A concrete usage of this type of inclusion is illustrated in the area of databases, with the approximate division of relations.
Citation:
PatricK Bosc, Olivier Pivert, "On a Qualitiative Approximate Inclusion -- Application to the Division of Fuzzy Relations," dexa, pp.430-434, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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