Uncertainty theory
dc.authorscopusid | Tofigh Allahviranloo / 8834494700 | |
dc.authorwosid | Tofigh Allahviranloo / V-4843-2019 | |
dc.contributor.author | Allahviranloo, Tofigh | |
dc.date.accessioned | 2025-04-18T08:51:14Z | |
dc.date.available | 2025-04-18T08:51:14Z | |
dc.date.issued | 2024 | |
dc.department | İstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü | |
dc.description.abstract | The main goal of this chapter is to introduce the sources of uncertainty and define different types of uncertainty. To define uncertainty, we must first define the measurable quantities and then the measurable space. This is followed by the uncertain variable and finally the uncertain space. Meanwhile, the operators for these sources are also defined. | |
dc.identifier.citation | Allahviranloo, T. (2024). Uncertainty theory. In Decision-Making Models (pp. 381-390). Academic Press. | |
dc.identifier.doi | 10.1016/B978-0-443-16147-6.00027-X | |
dc.identifier.endpage | 390 | |
dc.identifier.isbn | 978-044316147-6 | |
dc.identifier.isbn | 978-044316148-3 | |
dc.identifier.scopus | 2-s2.0-85202901259 | |
dc.identifier.startpage | 381 | |
dc.identifier.uri | http://dx.doi.org/10.1016/B978-0-443-16147-6.00027-X | |
dc.identifier.uri | https://hdl.handle.net/20.500.12713/6630 | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Allahviranloo, Tofigh | |
dc.institutionauthorid | Tofigh Allahviranloo / 0000-0002-6673-3560 | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.relation.ispartof | Decision-making models: a perspective of fuzzy logic and machine learning | |
dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | Borel Sets | |
dc.subject | Distributive Function | |
dc.subject | Measurable Set | |
dc.subject | Uncertain Variable | |
dc.title | Uncertainty theory | |
dc.type | Book Chapter |
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