Floating approximation in time-varying knowledge bases

Miroslav Kubát

doi:10.1016/0167-8655(89)90092-5

Floating approximation in time-varying knowledge bases

Miroslav Kubát

Research output: Contribution to journal › Article › peer-review

35 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 language	English (US)
Pages (from-to)	223-227
Number of pages	5
Journal	Pattern Recognition Letters
Volume	10
Issue number	4
DOIs	https://doi.org/10.1016/0167-8655(89)90092-5
State	Published - Oct 1989
Externally published	Yes

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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