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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F17%3APU125625" target="_blank" >RIV/00216305:26510/17:PU125625 - 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
Application of Neuro-Fuzzy Approach in Predicting the Number of Bankruptcies of Legal Persons in the Czech Republic
Original language description
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.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth
ISBN
978-0-9860419-9-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1166-1174
Publisher name
International Business Information Management Association (IBIMA)
Place of publication
Madrid, Spain
Event location
Madrid
Event date
Nov 8, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000443640500115

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