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

Author

Listed:
  • Vasile Mazilescu

    (Dunarea de Jos University of Galati, Romania)

  • Daniela Sarpe

    (Dunarea de Jos University of Galati, Romania)

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.

Suggested Citation

  • Vasile Mazilescu & Daniela Sarpe, 2006. "The Relationship between Fuzzy Reasoning and Its Temporal Characteristics for Knowledge Management," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 57-62.
    • Handle: RePEc:ddj:fseeai:y:2006:i:1:p:57-62
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    References listed on IDEAS

    as
    1. Ambjörn Naeve, 2005. "The Human Semantic Web Shifting from Knowledge Push to Knowledge Pull," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 1(3), pages 1-30, July.
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    1. Mazilescu, Vasile, 2010. "The Relationship between Fuzzy Reasoning and its Temporal Characteristics for Knowledge Management Systems," MPRA Paper 20758, University Library of Munich, Germany.

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