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 |
|---|---|
| Pages (from-to) | 223-227 |
| Number of pages | 5 |
| Journal | Pattern Recognition Letters |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jan 1 1989 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
T1 - Floating approximation in time-varying knowledge bases
AU - Kubat, Miroslav
PY - 1989/1/1
Y1 - 1989/1/1
N2 - 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.
AB - 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.
KW - floating approximation
KW - Knowledge acquisition
KW - pattern recognition algorithm
KW - rough sets
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U2 - 10.1016/0167-8655(89)90092-5
DO - 10.1016/0167-8655(89)90092-5
M3 - Article
VL - 10
SP - 223
EP - 227
JO - Pattern Recognition Letters
JF - Pattern Recognition Letters
SN - 0167-8655
IS - 4
ER -