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Didier Dubois, Henri Prade, Florence Sèdes, "Fuzzy Logic Techniques in Multimedia Database Querying: A Preliminary Investigation of the Potentials," IEEE Transactions on Knowledge and Data Engineering, vol. 13, no. 3, pp. 383392, May/June, 2001.  
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@article{ 10.1109/69.929896, author = {Didier Dubois and Henri Prade and Florence Sèdes}, title = {Fuzzy Logic Techniques in Multimedia Database Querying: A Preliminary Investigation of the Potentials}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {13}, number = {3}, issn = {10414347}, year = {2001}, pages = {383392}, doi = {http://doi.ieeecomputersociety.org/10.1109/69.929896}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Knowledge and Data Engineering TI  Fuzzy Logic Techniques in Multimedia Database Querying: A Preliminary Investigation of the Potentials IS  3 SN  10414347 SP383 EP392 EPD  383392 A1  Didier Dubois, A1  Henri Prade, A1  Florence Sèdes, PY  2001 KW  Fuzzy logic KW  multimedia databases KW  querying by example KW  semistructured documents KW  inexact matching. VL  13 JA  IEEE Transactions on Knowledge and Data Engineering ER   
Abstract—Fuzzy logic is known for providing a convenient tool for interfacing linguistic categories with numerical data and for expressing user's preference in a gradual and qualitative way. Fuzzy set methods have been already applied to the representation of flexible queries and to the modeling of uncertain pieces of information in databases systems, as well as in information retrieval. This methodology seems to be even more promising in multimedia databases which have a complex structure and from which documents have to be retrieved and selected not only from their contents, but also from “the idea” the user has of their appearance, through queries specified in terms of user's criteria. This paper provides a preliminary investigation of the potential applications of fuzzy logic in multimedia databases. The problem of comparing semistructured documents is first discussed. Querying issues are then more particularly emphasized. We distinguish two types of request, namely, those which can be handled within some extended version of an SQLlike language and those for which one has to elicit user's preference through examples.
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