Floating approximation in time-varying knowledge bases

Research output: Contribution to journalArticle

33 Scopus citations

Abstract

In this paper a new concept of Floating Approximation is introduced. It is based on Pawlaks theory of Rough Sets and the existence of 'hidden attributes' in knowledge representation systems. After explaining the motivation, a simplified algorithm developed and implemented by the author is described. First experience is reported and some ideas for further research are suggested.

Original languageEnglish (US)
Pages (from-to)223-227
Number of pages5
JournalPattern Recognition Letters
Volume10
Issue number4
DOIs
StatePublished - Oct 1989
Externally publishedYes

Keywords

  • floating approximation
  • Knowledge acquisition
  • pattern recognition algorithm
  • rough sets

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

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