Database design and querying within the fuzzy semantic model

  • Authors:

  • Rafik Bouaziz;Salem Chakhar;Vincent Mousseau;Sudha Ram;Abdelkader Telmoudi

  • Affiliations:

  • Department of Computer Science, Faculty of Economic Sciences and Management, Route de l'Aérodrome, BP 1088, 3018 Sfax, Tunisia;LAMSADE, University of Paris Dauphine, Place du Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, Paris, France;LAMSADE, University of Paris Dauphine, Place du Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, Paris, France;Department of MIS, 430J McClelland Hall, Eller College of Management, University of Arizona, Tucson, AZ 85721, USA;Department of Industrial Engineering, National School of Engineering of Tunis, B.P. 37 Le Belvédère 1002 Tunis, Tunisia

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2007

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Abstract

Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribute, entity and class levels. The paper presents the principles and constructs of the FSM. It proposes ways to define the membership functions within all the constructs of the FSM. In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases.