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Knowledge Management Based on Dynamic and Self-adjusting Fuzzy Models

  • Cezary Orłowski
  • Zdzisław Kowalczuk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)

Abstract

The objective of this paper is to present a knowledge management based on dynamic and self-adjusting fuzzy models. Specifically, the proposed approach is founded on a knowledge-based methodology and theories of dynamic systems and fuzzy sets. A preliminary design of our fuzzy model takes advantage of the experience from managing of IT projects. Relevant experimental data resulting from these projects are utilized for adjusting the membership functions of the fuzzy model applied in the knowledge-based decision-support system.

Keywords

Decision Support System Knowledge Management Project Team Team Manager Dynamic Part 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cezary Orłowski
    • 1
  • Zdzisław Kowalczuk
    • 2
  1. 1.Faculty of Management and EconomicsGdansk University of TechnologyGdanskPoland
  2. 2.Faculty of Electronics, Telecommunication and Computer ScienceGdansk University of TechnologyGdanskPoland

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