Detail publikace
Fuzzy Set Approach to Signal Detection
ŠEDA, M.
Anglický název
Fuzzy Set Approach to Signal Detection
Typ
Stať ve sborníku v databázi WoS či Scopus
Jazyk
en
Originální abstrakt
Automated supervision and fault diagnosis are important features in design of efficient and reliable systems. Detection algorithms are generally optimised with respect to a particular set of cost functions chosen for the specific application. In the last few years in the field of detection systems there have been an increasing number of applications based on algorithms using methodologies, which belong to a subclass of Artificial Intelligence called Soft Computing. In this paper, we propose a fuzzy method for the detection of dangerous states based on matching a predefined database of these states with periodically measured or estimated parameter values.
Klíčová slova anglicky
fuzzy set, detection, similarity measure
Vydáno
2007-09-18
Nakladatel
Springer-Verlag
Místo
Berlin
ISBN
978-3-540-73955-5
Kniha
Jablonski, R., Turkowski, M. and Szewczyk, R. (eds.): Recent Advances in Mechatronics
Strany od–do
97–101
Počet stran
5
BIBTEX
@inproceedings{BUT30272,
author="Miloš {Šeda}",
title="Fuzzy Set Approach to Signal Detection",
booktitle="Jablonski, R., Turkowski, M. and Szewczyk, R. (eds.): Recent Advances in Mechatronics",
year="2007",
series="Mechatronics",
number="1",
pages="97--101",
publisher="Springer-Verlag",
address="Berlin",
isbn="978-3-540-73955-5"
}