Investment Decision Support Based on Interval Type-2 Fuzzy Expert System

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dc.contributor.authorJanková, Zuzanacs
dc.contributor.authorJana, Dipak Kumarcs
dc.contributor.authorDostál, Petrcs
dc.coverage.issue2cs
dc.coverage.volume32cs
dc.date.issued2021-04-29cs
dc.description.abstractThe decision-making process on investing in financial markets is a very complex and difficult task, mainly due to the chaotic behavior and high uncertainty in the development of the prices of investment instruments. For this reason, financial markets are increasingly using means of artificial intelligence, namely fuzzy logic, which is able to capture the nonlinear behavior.Fuzzy logic provides a way to draw definitive conclusions from vague, ambiguous, or inaccurate information.However, there are some drawbacks associated with type-1 fuzzy logic, so the type-2 fuzzy logic comes forward, which can work with greater uncertainty. Type-2 fuzzy logic works with a new third dimension fuzzy set that provides additional degrees of freedom and allows to model and process numerical and linguistic uncertainties directly. The paper applies type-2 fuzzy logic to the stock market with the aim to create a simple and understandable model for deciding on investing in investment instruments, which is important for investors in this area. The proposed type-2 fuzzy model uses return, risk, dividend and total expense ratio of ETF as input variables. The created system is able to generate aggregated models from a certain number of language rules, which allows the investor to understand the created financial model. Using type-2 fuzzy logic can lead to more realistic and accurate results than type-1 fuzzy logic.en
dc.formattextcs
dc.format.extent118-129cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationEngineering Economics. 2021, vol. 32, issue 2, p. 118-129.en
dc.identifier.doi10.5755/j01.ee.32.2.24884cs
dc.identifier.issn1392-2785cs
dc.identifier.orcid0000-0003-1798-5275cs
dc.identifier.orcid0000-0002-7871-4789cs
dc.identifier.other171432cs
dc.identifier.researcheridV-3927-2017cs
dc.identifier.urihttp://hdl.handle.net/11012/200977
dc.language.isoencs
dc.publisherKaunas University of Technologycs
dc.relation.ispartofEngineering Economicscs
dc.relation.urihttps://inzeko.ktu.lt/index.php/EE/article/view/24884cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1392-2785/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectfuzzy logicen
dc.subjectinterval type-2 fuzzy logicen
dc.subjectinvestment analysisen
dc.subjectsoft computingen
dc.subjectT2FLSen
dc.titleInvestment Decision Support Based on Interval Type-2 Fuzzy Expert Systemen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-171432en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:43:27en
sync.item.modts2025.01.17 18:36:38en
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav informatikycs
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