Knowledge management based on dynamic and self-adjusting fuzzy models

  • Authors:

  • Cezary Orłowski;Zdzisław Kowalczuk

  • Affiliations:

  • Faculty of Management and Economics, Gdansk University of Technology, Gdansk, Poland;Faculty of Electronics, Telecommunication and Computer Science, Gdansk University of Technology, Gdansk, Poland

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2006

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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.