Defuzzification methods in intuitionistic fuzzy inference systems of Takagi-Sugeno type: The case of corporate bankruptcy prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F14%3A39898560" target="_blank" >RIV/00216275:25410/14:39898560 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/FSKD.2014.6980838" target="_blank" >http://dx.doi.org/10.1109/FSKD.2014.6980838</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FSKD.2014.6980838" target="_blank" >10.1109/FSKD.2014.6980838</a>
Alternative languages
Result language
angličtina
Original language name
Defuzzification methods in intuitionistic fuzzy inference systems of Takagi-Sugeno type: The case of corporate bankruptcy prediction
Original language description
Recently, an intuitionistic fuzzy inference system (IFIS) of Takagi-Sugeno type has been proposed. Previous results have shown that by adding non-membership functions, the average errors may be significantly decreased compared with FISs. In this paper, we design defuzzification methods for this class of systems. The methods are based on weighted average and weighted sum of the consequents of rules in IFIS. The empirical comparison of the methods is carried out on a dataset for corporate bankruptcy prediction.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-10331S" target="_blank" >GA13-10331S: The role of text information in corporate financial distress prediction models – country-specific and industry-specific approaches</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
ISBN
978-1-4799-5148-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
232-236
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Xiamen
Event date
Aug 19, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000359803500042