Publication detail

Fuzzy Model for the Evaluation of Liquidity of Czech Construction Companies

ŠEBESTOVÁ, M.

Original Title

Fuzzy Model for the Evaluation of Liquidity of Czech Construction Companies

English Title

Fuzzy Model for the Evaluation of Liquidity of Czech Construction Companies

Type

conference paper

Language

en

Original Abstract

This paper deals with the application of fuzzy logic for the evaluation of liquidity of Czech construction companies. The author has designed two models that can be used by corporate management for an evaluation of the liquidity level and for the taking of appropriate measures in the event of an adversely developing situation. The first model has been elaborated in the MS Excel application. It is a model on the basis of which a fuzzy model has been created in MathWorks MATLAB. Both models have been elaborated based on an identical set of financial indicators from the years 2010 - 2013. The model created in MathWorks MATLAB uses the process of gradual addition of rules to guarantee a sufficient accuracy thanks to the repeatedly complemented database of rules. The results obtained show that fuzzy models can reliably predict the liquidity of companies with an accuracy of up to 90%.

English abstract

This paper deals with the application of fuzzy logic for the evaluation of liquidity of Czech construction companies. The author has designed two models that can be used by corporate management for an evaluation of the liquidity level and for the taking of appropriate measures in the event of an adversely developing situation. The first model has been elaborated in the MS Excel application. It is a model on the basis of which a fuzzy model has been created in MathWorks MATLAB. Both models have been elaborated based on an identical set of financial indicators from the years 2010 - 2013. The model created in MathWorks MATLAB uses the process of gradual addition of rules to guarantee a sufficient accuracy thanks to the repeatedly complemented database of rules. The results obtained show that fuzzy models can reliably predict the liquidity of companies with an accuracy of up to 90%.

Keywords

fuzzy model, fuzzy inference system, liquidity, construction companies

RIV year

2015

Released

07.05.2015

Publisher

International Business Information Management Association (IBIMA)

Location

Amsterdam, Netherlands

ISBN

978-0-9860419-4-5

Book

Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth

Edition number

25

Pages from

1772

Pages to

1781

Pages count

10

Documents

BibTex


@inproceedings{BUT114976,
  author="Monika {Šebestová}",
  title="Fuzzy Model for the Evaluation of Liquidity of Czech Construction Companies",
  annote="This paper deals with the application of fuzzy logic for the evaluation of liquidity of Czech construction companies. The author has designed two models that can be used by corporate management for an evaluation of the liquidity level and for the taking of appropriate measures in the event of an adversely developing situation. The first model has been elaborated in the MS Excel application. It is a model on the basis of which a fuzzy model has been created in MathWorks MATLAB. Both models have been elaborated based on an identical set of financial indicators from the years 2010 - 2013. The model created in MathWorks MATLAB uses the process of gradual addition of rules to guarantee a sufficient accuracy thanks to the repeatedly complemented database of rules. The results obtained show that fuzzy models can reliably predict the liquidity of companies with an accuracy of up to 90%.",
  address="International Business Information Management Association (IBIMA)",
  booktitle="Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth",
  chapter="114976",
  howpublished="electronic, physical medium",
  institution="International Business Information Management Association (IBIMA)",
  year="2015",
  month="may",
  pages="1772--1781",
  publisher="International Business Information Management Association (IBIMA)",
  type="conference paper"
}