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
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;
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4799-0020-6
DOI :
10.1109/FUZZ-IEEE.2013.6622331