Comparison Uncertainty of Different Types of Membership Functions in T2FLS: Case of International Financial Market
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F22%3APU143522" target="_blank" >RIV/00216305:26510/22:PU143522 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/12/2/918" target="_blank" >https://www.mdpi.com/2076-3417/12/2/918</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app12020918" target="_blank" >10.3390/app12020918</a>
Alternative languages
Result language
angličtina
Original language name
Comparison Uncertainty of Different Types of Membership Functions in T2FLS: Case of International Financial Market
Original language description
This article deals with the determination and comparison of different types of functions of the type-2 interval of fuzzy logic, using a case study on the international financial market. The model is demonstrated on the time series of the leading stock index DJIA of the US market. Type-2 Fuzzy Logic membership features are able to include additional uncertainty resulting from unclear, uncertain or inaccurate financial data that are selected as inputs to the model. Data on the financial situation of companies are prone to inaccuracies or incomplete information, which is why the type-2 fuzzy logic application is most suitable for this type of financial analysis. This paper is primarily focused on comparing and evaluating the performance of different types of type-2 fuzzy membership functions with integrated additional uncertainty. For this purpose, several model situations differing in shape and level or degree of uncertainty of membership functions are constructed. The results of this research show that type-2 fuzzy sets with dual membership functions is a suitable expert system for highly chaotic and unstable international stock markets and achieves higher accuracy with the integration of a certain level of uncertainty compared to type-1 fuzzy logic.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
21101 - Food and beverages
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences - Basel
ISSN
2076-3417
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
2
Country of publishing house
CH - SWITZERLAND
Number of pages
21
Pages from-to
1-21
UT code for WoS article
000747619800001
EID of the result in the Scopus database
2-s2.0-85122932648