Publication detail
Fuzzy logic control application for the risk quantification of projects for automation
DAVIDOVÁ, O. LACKO, B.
English title
Fuzzy logic control application for the risk quantification of projects for automation
Type
book chapter
Language
en
Original abstract
This article describes the classical approach to risk quantification. This is followed by recommendations of fuzzy sets for advanced risk quantification in the automation project. Different models for fuzzification and defuzzification are presented and the optimum model variants are found with the help of the MATLAB program system. © Springer Nature Switzerland AG 2019.
English abstract
This article describes the classical approach to risk quantification. This is followed by recommendations of fuzzy sets for advanced risk quantification in the automation project. Different models for fuzzification and defuzzification are presented and the optimum model variants are found with the help of the MATLAB program system. © Springer Nature Switzerland AG 2019.
Keywords in English
Intelligent Systems; Soft Computing
Released
01.01.2019
Publisher
Springer
Location
Cham, Switzerland
ISBN
978-3-319-97887-1
Book
Advances in Intelligent Systems and Computing
Pages from–to
320–326
Pages count
7
BIBTEX
@inbook{BUT151416,
author="Olga {Davidová} and Branislav {Lacko},
title="Fuzzy logic control application for the risk quantification of projects for automation",
booktitle="Advances in Intelligent Systems and Computing",
year="2019",
month="January",
pages="320--326",
publisher="Springer",
address="Cham, Switzerland",
isbn="978-3-319-97887-1"
}