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The Relationship between Fuzzy Reasoning and Its Temporal Characteristics for Knowledge Management

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  • Vasile Mazilescu

    ()
    (Dunarea de Jos University of Galati, Romania)

  • Daniela Sarpe

    ()
    (Dunarea de Jos University of Galati, Romania)

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    Abstract

    The knowledge management systems based on artificial reasoning (KMAR) tries to provide computers the capabilities of performing various intelligent tasks for which their human users resort to their knowledge and collective intelligence. There is a need for incorporating aspects of time and imprecision into knowledge management systems, considering appropriate semantic foundations. The aim of this paper is to present the FRTES, a real-time fuzzy expert system, embedded in a knowledge management system. Our expert system is a special possibilistic expert system, developed in order to focus on fuzzy knowledge.

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    Bibliographic Info

    Article provided by "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration in its journal Economics and Applied Informatics.

    Volume (Year): (2006)
    Issue (Month): 1 ()
    Pages: 57-62

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    Handle: RePEc:ddj:fseeai:y:2006:i:1:p:57-62

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    Keywords: Knowledge Management; Artificial Reasoning; predictability;

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