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"
}