The Nuanced Relational Division
Identifieur interne : 001044 ( Crin/Corpus ); précédent : 001043; suivant : 001045The Nuanced Relational Division
Auteurs : N. MouaddibSource :
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Abstract
In the present work, we will attempt an extension of (relational) databases\, : \begin{itemize} \item[-]to represent fuzzy data with a new data type that we introduce termed Nuanced Information, \item[-]to give a new definition of the relational division operator in order to take into account the nuanced information. The new operator is called the Nuanced Relational Division. We show that this new operator resolves the problem of the identification of an observed object among a set of a known objects of the databases, \item[-]to introduce weights on attributes for expressing the pertinence in known objects and the trust in the observed object. \end{itemize} This work is based on possibility theory and fuzzy sets theory.
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="271">The Nuanced Relational Division</title></titleStmt><publicationStmt><idno type="RBID">CRIN:mouaddib93a</idno><date when="1993" year="1993">1993</date><idno type="wicri:Area/Crin/Corpus">001044</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">The Nuanced Relational Division</title><author><name sortKey="Mouaddib, N" sort="Mouaddib, N" uniqKey="Mouaddib N" first="N." last="Mouaddib">N. Mouaddib</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>fuzzy database</term><term>fuzzy relational division</term><term>fuzzy sets</term><term>identification in database</term><term>nuanced information</term><term>nuanced relational division</term><term>possibility theory</term><term>weighted attributes</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="3066">In the present work, we will attempt an extension of (relational) databases\, : \begin{itemize} \item[-]to represent fuzzy data with a new data type that we introduce termed Nuanced Information, \item[-]to give a new definition of the relational division operator in order to take into account the nuanced information. The new operator is called the Nuanced Relational Division. We show that this new operator resolves the problem of the identification of an observed object among a set of a known objects of the databases, \item[-]to introduce weights on attributes for expressing the pertinence in known objects and the trust in the observed object. \end{itemize} This work is based on possibility theory and fuzzy sets theory.</div></front></TEI><BibTex type="inproceedings"><ref>mouaddib93a</ref><crinnumber>93-R-014</crinnumber><category>3</category><equipe>EXPRIM</equipe><author><e>Mouaddib, N.</e></author><title>The Nuanced Relational Division</title><booktitle>{Proceedings Second IEEE International Conference on Fuzzy Systems, San Francisco (CA, USA)}</booktitle><year>1993</year><month>apr</month><keywords><e>nuanced information</e><e>nuanced relational division</e><e>weighted attributes</e><e>identification in database</e><e>possibility theory</e><e>fuzzy sets</e><e>fuzzy database</e><e>fuzzy relational division</e></keywords><abstract>In the present work, we will attempt an extension of (relational) databases\, : \begin{itemize} \item[-]to represent fuzzy data with a new data type that we introduce termed Nuanced Information, \item[-]to give a new definition of the relational division operator in order to take into account the nuanced information. The new operator is called the Nuanced Relational Division. We show that this new operator resolves the problem of the identification of an observed object among a set of a known objects of the databases, \item[-]to introduce weights on attributes for expressing the pertinence in known objects and the trust in the observed object. \end{itemize} This work is based on possibility theory and fuzzy sets theory.</abstract></BibTex></record>Pour manipuler ce document sous Unix (Dilib)
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