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Knowledge Management Based on Dynamic and Self-adjusting Fuzzy Models

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,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.

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References

  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. Orłowski, C., Szczerbicki, E.: Evaluation of Information Technology Projects. Cybernetics and Systems 33(6), 659–673 (2002)

    Article  Google Scholar 

  3. Paulk, M.C.: Software Capability Maturity Model, Version 2., Draft Technical Report. Software Engineering Institute, Carnegie Mellon University Pittsburgh (1997)

    Google Scholar 

  4. Szyjewski, Z.: Software Project Management. Methodology of IT-system Creation. Agencja Placet, Warsaw (in Polish) (2001)

    Google Scholar 

  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. Yager, R., Filew, D.: Essentials of Fuzzy Modeling and Control. John Wiley and Sons, New York (1994)

    Google Scholar 

  7. Zadeh, L.: A Fuzzy Sets as a Basis for Theory of Possibility. Fuzzy Sets and Systems 1, 1762–1784 (1978)

    Article  MathSciNet  Google Scholar 

  8. Ziegler, B.: Theory of Modeling and Simulation. Springer, Berlin, London (1984)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Management and Economics, Gdansk University of Technology, 80-952, Gdansk, Poland

    Cezary Orłowski

  2. Faculty of Electronics, Telecommunication and Computer Science, Gdansk University of Technology, 80-952, Gdansk, Poland

    Zdzisław Kowalczuk

Authors
  1. Cezary Orłowski
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  2. Zdzisław Kowalczuk
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Orłowski, C., Kowalczuk, Z. (2006). Knowledge Management Based on Dynamic and Self-adjusting Fuzzy Models. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_81

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  • DOI: https://doi.org/10.1007/11892960_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46535-5

  • Online ISBN: 978-3-540-46536-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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