DocumentCode
3381191
Title
A relational division based on a fuzzy bipolar R-implication operator
Author
Tamani, Nouredine ; Lietard, Ludovic ; Rocacher, Daniel
Author_Institution
UMR IATE/INRA-SUPAGRO, Montpellier, France
fYear
2013
fDate
7-10 July 2013
Firstpage
1
Lastpage
7
Abstract
We introduce in this paper a new relational division operator based on a bipolar implication operator involving fuzzy bipolar relations. The considered bipolarity encompasses two kinds of bipolar conditions: the former is of type “and if possible”, and the latter is of type “or else”. This new division operator allows as to express a division of bipolar relations regardless of the nature of the dividend and the divisor (Boolean, fuzzy, bipolar, homogeneous, heterogeneous). We have also shown that the proposed relational division operator satisfies the bipolar quotient properties and can be an alternative to the already proposed operator in [1]-[3] which is based on the quantities involved in the division operation. The new proposed operator is aimed to be integrated into the bipolar SQLf language for flexible querying of relational databases.
Keywords
SQL; fuzzy set theory; query processing; relational databases; SQLf language; bipolar implication operator; flexible querying; fuzzy bipolar R-implication operator; fuzzy bipolar relations; relational databases; relational division; Algebra; Coherence; Compounds; Context; Electronic mail; Relational databases; Semantics; Flexible Querying; Fuzzy Bipolar Conditions; Gödel Fuzzy implication; Relational Division;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location
Hyderabad
ISSN
1098-7584
Print_ISBN
978-1-4799-0020-6
Type
conf
DOI
10.1109/FUZZ-IEEE.2013.6622331
Filename
6622331
Link To Document