Detail publikace

Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model

ŠEBESTOVÁ, M.

Originální název

Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article deals with the application of the neuro-fuzzy approach for predicting bankruptcies in the Czech Republic. The prediction is based on financial indicators of manufacturing companies from 2012–2016. The obtained data are used to design ANFIS, with the advantage of the possibility to model complex, dynamic and non-linear problems, when compared to statistical methods. Based on the established results it can be stated that the designed model is capable of revealing an enterprise prone to bankruptcy with a given probability and thus giving a picture of its current development.

Klíčová slova

Neuro-fuzzy, bankruptcy, financial indicators

Autoři

ŠEBESTOVÁ, M.

Vydáno

15. 11. 2018

Nakladatel

International Business Information Management Association (IBIMA)

Místo

Seville, Spain

ISBN

978-0-9998551-1-9

Kniha

Vision 2020: Sustainable Economic Development and Application of Innovation Managemen from Regional expansion to Global Growth

Číslo edice

32

Strany od

1071

Strany do

1080

Strany počet

10

BibTex

@inproceedings{BUT151714,
  author="Monika {Šebestová}",
  title="Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model",
  booktitle="Vision 2020: Sustainable Economic Development and Application of Innovation Managemen from Regional expansion to Global Growth",
  year="2018",
  number="32",
  pages="1071--1080",
  publisher="International Business Information Management Association (IBIMA)",
  address="Seville, Spain",
  isbn="978-0-9998551-1-9"
}