Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F18%3APU130064" target="_blank" >RIV/00216305:26510/18:PU130064 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model
Original language description
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.
Czech name
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Czech description
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Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Vision 2020: Sustainable Economic Development and Application of Innovation Managemen from Regional expansion to Global Growth
ISBN
978-0-9998551-1-9
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
1071-1080
Publisher name
International Business Information Management Association (IBIMA)
Place of publication
Seville, Spain
Event location
Sevilla
Event date
Nov 15, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000508553202012

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