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) |
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Pages (from-to) | 223-227 |
Number of pages | 5 |
Journal | Pattern Recognition Letters |
Volume | 10 |
Issue number | 4 |
DOIs | |
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