Floating approximation in time-varying knowledge bases

Research output: Contribution to journalArticle

31 Citations (Scopus)

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
Pages (from-to)223-227
Number of pages5
JournalPattern Recognition Letters
Volume10
Issue number4
DOIs
StatePublished - Jan 1 1989
Externally publishedYes

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Knowledge representation

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

Cite this

Floating approximation in time-varying knowledge bases. / Kubat, Miroslav.

In: Pattern Recognition Letters, Vol. 10, No. 4, 01.01.1989, p. 223-227.

Research output: Contribution to journalArticle

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