A relational division based on a fuzzy bipolar R-implication operator

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.

[1]  Ludovic Lietard,et al.  Bipolarity and the relational division , 2011, EUSFLAT Conf..

[2]  Patrick Bosc,et al.  Extending relational algebra to handle bipolarity , 2010, SAC '10.

[3]  Patrick Bosc,et al.  On the extension of SQL to fuzzy bipolar conditions , 2009, NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society.

[4]  Didier Dubois,et al.  Bipolarity in Flexible Querying , 2002, FQAS.

[5]  Patrick Bosc,et al.  SQLf: a relational database language for fuzzy querying , 1995, IEEE Trans. Fuzzy Syst..

[6]  Didier Dubois,et al.  An introduction to bipolar representations of information and preference , 2008, Int. J. Intell. Syst..

[7]  Ludovic Lietard,et al.  On the Definition of Extended Norms and Co-norms to Aggregate Fuzzy Bipolar Conditions , 2009, IFSA/EUSFLAT Conf..

[8]  Antoon Bronselaer,et al.  Dealing with Positive and Negative Query Criteria in Fuzzy Database Querying , 2009, FQAS.

[9]  Ludovic Lietard,et al.  Bipolarity in flexible querying of information systems dedicated to multimodal transport networks , 2011, 2011 10th International Symposium on Programming and Systems.

[10]  Olivier Pivert,et al.  Flexible Approaches in Data, Information and Knowledge Management , 2014, Studies in Computational Intelligence.

[11]  Nouredine Tamani Interrogation personnalisée des systèmes d'information dédiés au transport : une approche bipolaire floue , 2012 .

[12]  D. Dubois,et al.  An introduction to bipolar representations of information and preference , 2008 .

[13]  Ludovic Lietard,et al.  Bipolar SQLf: A Flexible Querying Language for Relational Databases , 2011, FQAS.

[14]  D. Dubois,et al.  Fuzzy Sets in Approximate Reasoning and Information Systems , 2012 .

[15]  Patrick Bosc,et al.  About quotient and division of crisp and fuzzy relations , 2006, Journal of Intelligent Information Systems.

[16]  Patrick Bosc,et al.  On the division of bipolar fuzzy relations , 2010, 2010 Annual Meeting of the North American Fuzzy Information Processing Society.

[17]  Patrick Bosc,et al.  About Bipolar Division Operators , 2009, FQAS.

[18]  Patrick Bosc,et al.  On Diverse Approaches to Bipolar Division Operators , 2011, Int. J. Intell. Syst..

[19]  Antoon Bronselaer,et al.  Using bipolar satisfaction degrees in fuzzy querying , 2009 .

[20]  Slawomir Zadrozny,et al.  Bipolar Queries Using Various Interpretations of Logical Connectives , 2007, IFSA.

[21]  Didier Dubois,et al.  An overview of the asymmetric bipolar representation of positive and negative information in possibility theory , 2009, Fuzzy Sets Syst..

[22]  Janusz Kacprzyk,et al.  Bipolar Queries: A Way to Enhance the Flexibility of Database Queries , 2009 .

[23]  Ludovic Lietard,et al.  A Fuzzy Ontology for Database Querying with Bipolar Preferences , 2013, Int. J. Intell. Syst..

[24]  Didier Dubois,et al.  Handling Bipolar Queries in Fuzzy Information Processing , 2008, Handbook of Research on Fuzzy Information Processing in Databases.

[25]  Ludovic Lietard,et al.  Fuzzy bipolar conditions of type ”or else” , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[26]  Gloria Bordogna,et al.  A fuzzy query language with a linguistic hierarchical aggregator , 1994, SAC '94.

[27]  Antoon Bronselaer,et al.  Handling Bipolarity in Elementary Queries to Possibilistic Databases , 2010, IEEE Transactions on Fuzzy Systems.