Publication detail

Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model

ŠEBESTOVÁ, M.

Original Title

Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model

English Title

Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Neuro-fuzzy, bankruptcy, financial indicators

Released

15.11.2018

Publisher

International Business Information Management Association (IBIMA)

Location

Seville, Spain

ISBN

978-0-9998551-1-9

Book

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

Edition number

32

Pages from

1071

Pages to

1080

Pages count

10

Documents

BibTex


@inproceedings{BUT151714,
  author="Monika {Šebestová}",
  title="Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model",
  annote="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.",
  address="International Business Information Management Association (IBIMA)",
  booktitle="Vision 2020: Sustainable Economic Development and Application of Innovation Managemen from Regional expansion to Global Growth",
  chapter="151714",
  howpublished="online",
  institution="International Business Information Management Association (IBIMA)",
  year="2018",
  month="november",
  pages="1071--1080",
  publisher="International Business Information Management Association (IBIMA)",
  type="conference paper"
}