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https://hdl.handle.net/20.500.11779/1345
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sergi, Duygu | - |
dc.contributor.author | Sarı, İrem Ucal | - |
dc.date.accessioned | 2020-08-07T04:11:36Z | |
dc.date.available | 2020-08-07T04:11:36Z | |
dc.date.issued | 2021 | - |
dc.identifier.citation | Sergi, D. & Sari, IU. (July 21–23, 2020). Fuzzy Capital Budgeting Using Fermatean Fuzzy Sets. In Fuzzy Capital Budgeting Using Fermatean Fuzzy Sets, Proceedings of the INFUS 2020 Conference, Istanbul, Turkey. Springer. pp. 448 - 456. | en_US |
dc.identifier.isbn | 9783030511555 | - |
dc.identifier.issn | 2194-5357 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11779/1345 | - |
dc.identifier.uri | https://doi.org/10.1007/978-3-030-51156-2_52 | - |
dc.description.abstract | Investment projects are mostly evaluated by capital budgeting techniques to measure their profitability. The parameters used in capital budgeting such as future cash flows, interest rate and useful life involves high uncertainty due to the lack of information for the future environment. Since the uncertainty involved in forecasting the parameters is mostly in high levels, fuzzy set theory could be used in the determination of capital budgeting parameters to handle uncertain information in the analyses. Fermatean fuzzy sets are one of the most recent extensions of fuzzy set theory which are capable to handle higher levels of uncertainties by assigning fuzzy parameters from a larger domain. In this paper, fuzzy capital budgeting techniques that are fuzzy net present worth, fuzzy net future worth and fuzzy net annual worth are extended using fermatean fuzzy sets. An illustration for the calculations is also presented. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Advances in Intelligent Systems and Computing, International Conference on Intelligent and Fuzzy Systems, INFUS 2020 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Interest rates | en_US |
dc.subject | Fermatean fuzzy sets | en_US |
dc.subject | Fuzzy annual worth | en_US |
dc.subject | Useful life | en_US |
dc.subject | Budget control | en_US |
dc.subject | Fuzzy parameter | en_US |
dc.subject | Fuzzy net present worth | en_US |
dc.subject | Fuzzy sets | en_US |
dc.subject | Investment projects | en_US |
dc.subject | Uncertain informations | en_US |
dc.subject | Uncertainty analysis | en_US |
dc.subject | Capital budgeting | en_US |
dc.subject | Fuzzy neural networks | en_US |
dc.subject | Future worth | en_US |
dc.title | Fuzzy Capital Budgeting Using Fermatean Fuzzy Sets | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1007/978-3-030-51156-2_52 | - |
dc.identifier.scopus | 2-s2.0-85088741503 | en_US |
dc.authorid | Duygu Sergi / 0000-0003-1636-0230 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.endpage | 456 | en_US |
dc.identifier.startpage | 448 | en_US |
dc.identifier.volume | 1197 | en_US |
dc.department | Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
dc.institutionauthor | Sergi, Duygu | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
item.openairetype | Conference Object | - |
item.grantfulltext | embargo_20401213 | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.01. Department of Industrial Engineering | - |
Appears in Collections: | Endüstri Mühendisliği Bölümü Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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intelligent-and-fuzzy-techniques-smart-and-innovative-solutions-2021.pdf Until 2040-12-13 | Full Text - Book Chapter | 468.69 kB | Adobe PDF | View/Open Request a copy |
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