Detail publikačního výsledku

Application of Neuro-Fuzzy Approach in Predicting the Number of Bankruptcies of Legal Persons in the Czech Republic

ŠEBESTOVÁ, M.

Originální název

Application of Neuro-Fuzzy Approach in Predicting the Number of Bankruptcies of Legal Persons in the Czech Republic

Anglický název

Application of Neuro-Fuzzy Approach in Predicting the Number of Bankruptcies of Legal Persons in the Czech Republic

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This article deals with the application of the neuro-fuzzy approach in estimating the number of companies going bankrupt in the Czech Republic. The prediction is based on macroeconomic indicators from 2011–2016, namely inflation, interest rate and unemployment rate. Unlike statistical models, the neuro-fuzzy models have the advantage of rules made up directly from the used data, and therefore they enable modelling of complex, dynamic and non-linear problems. Based on the obtained results, it can be stated that the designed ANFIS (Adaptive Neuro-Fuzzy Inference System) is able to predict the number of financial failures of companies with sufficient accuracy and thus give a picture of the future market development.

Anglický abstrakt

This article deals with the application of the neuro-fuzzy approach in estimating the number of companies going bankrupt in the Czech Republic. The prediction is based on macroeconomic indicators from 2011–2016, namely inflation, interest rate and unemployment rate. Unlike statistical models, the neuro-fuzzy models have the advantage of rules made up directly from the used data, and therefore they enable modelling of complex, dynamic and non-linear problems. Based on the obtained results, it can be stated that the designed ANFIS (Adaptive Neuro-Fuzzy Inference System) is able to predict the number of financial failures of companies with sufficient accuracy and thus give a picture of the future market development.

Klíčová slova

Neuro-fuzzy, bankruptcy, macroeconomic indicators

Klíčová slova v angličtině

Neuro-fuzzy, bankruptcy, macroeconomic indicators

Autoři

ŠEBESTOVÁ, M.

Rok RIV

2018

Vydáno

08.11.2017

Nakladatel

International Business Information Management Association (IBIMA)

Místo

Madrid, Spain

ISBN

978-0-9860419-9-0

Kniha

Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth

Strany od

1166

Strany do

1174

Strany počet

8

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@inproceedings{BUT141996,
  author="Monika {Šebestová}",
  title="Application of Neuro-Fuzzy Approach in Predicting the Number of Bankruptcies of Legal Persons in
the Czech Republic",
  booktitle="Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth",
  year="2017",
  number="30",
  pages="1166--1174",
  publisher="International Business Information Management Association (IBIMA)",
  address="Madrid, Spain",
  isbn="978-0-9860419-9-0"
}