Fuzzy Clustering and Loan Risk Evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F14%3APU109530" target="_blank" >RIV/00216305:26510/14:PU109530 - isvavai.cz</a>
Result on the web
<a href="http://www.springer.com/physics/complexity/book/978-3-642-33226-5" target="_blank" >http://www.springer.com/physics/complexity/book/978-3-642-33226-5</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fuzzy Clustering and Loan Risk Evaluation
Original language description
Fuzzy logic has had successful applications in risk management. There are different methods used as a support for risk decision making. The article deals with the fundamentals of fuzzy clustering method. The case study of the use of this method is presented on the loan risk evaluation. The risk evaluation plays an important role nowadays.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Nostradamus 2014: Prediction, Modeling and Analzsis of Complex systems
ISBN
978-3-319-07401-6
ISSN
2194-5357
e-ISSN
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Number of pages
8
Pages from-to
177-184
Publisher name
Springer-Verlag
Place of publication
Berlin Heidelberg
Event location
VSB Technical University of Ostrava
Event date
Jun 3, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000313767300008