Application of the Information Measures to Input Support Selection in Functional Decomposition

  • Authors:
  • M. Rawski;Lech Józwiak;Artur Chojnacki

  • Affiliations:
  • -;-;-

  • Venue:
  • RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
  • Year:
  • 1998

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Abstract

General functional decomposition has important application in many fields of modern engineering and science. Its practical usefulness for very complex systems is however limited by lack of an effective and efficientmethod for selection of the appropriate input supports for sub-systems. In this paper, an effective and efficient heuristic method for input support selection is proposed and discussed. The experimental results demonstrate that the method is able to construct optimal or near optimal supports efficiently even for large systems.