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)


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.


Decision Support System Knowledge Management Project Team Team Manager Dynamic Part 
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  1. 1.
    Kowalczuk, Z., Orłowski, C.: Design of Knowledge-Based Systems in Environmental Engineering. In: Proceedings of the Computer Science Convention Conference, Gdańsk (CD- ROM) (2003)Google Scholar
  2. 2.
    Orłowski, C., Szczerbicki, E.: Evaluation of Information Technology Projects. Cybernetics and Systems 33(6), 659–673 (2002)CrossRefGoogle Scholar
  3. 3.
    Paulk, M.C.: Software Capability Maturity Model, Version 2., Draft Technical Report. Software Engineering Institute, Carnegie Mellon University Pittsburgh (1997)Google Scholar
  4. 4.
    Szyjewski, Z.: Software Project Management. Methodology of IT-system Creation. Agencja Placet, Warsaw (in Polish) (2001)Google Scholar
  5. 5.
    Tong, R.M.: The Construction and Evaluation of Fuzzy Models. Advances in Fuzzy Set Theory and Applications, pp. 559–576. North-Holland, Amsterdam (1979)Google Scholar
  6. 6.
    Yager, R., Filew, D.: Essentials of Fuzzy Modeling and Control. John Wiley and Sons, New York (1994)Google Scholar
  7. 7.
    Zadeh, L.: A Fuzzy Sets as a Basis for Theory of Possibility. Fuzzy Sets and Systems 1, 1762–1784 (1978)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Ziegler, B.: Theory of Modeling and Simulation. Springer, Berlin, London (1984)Google Scholar

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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