Floating approximation in time-varying knowledge bases

Miroslav Kubát

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

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Floating approximation in time-varying knowledge bases

Journal article

Peer reviewed

Floating approximation in time-varying knowledge bases

Miroslav Kubát

Pattern recognition letters, Vol.10(4), pp.223-227

1989

DOI: https://doi.org/10.1016/0167-8655(89)90092-5

Abstract

floating approximation

Knowledge acquisition

pattern recognition algorithm

rough sets

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.

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Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.61 Artificial Intelligence & Machine Learning; 4.61.145 Feature Selection
Web Of Science research areas: Computer Science, Artificial Intelligence
ESI research areas: Engineering

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Details

Title: Floating approximation in time-varying knowledge bases
Creators: Miroslav Kubát - Technical University of Brno, Computing Center, Obráncû míru 21, Brno, Czechoslovakia
Publication Details: Pattern recognition letters, Vol.10(4), pp.223-227
Publisher: Elsevier B.V
Academic Unit: College of Engineering; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991031615451602976