| dc.contributor.author | Erginel, Nihal | |
| dc.contributor.author | Saraçoğlu, Hande | |
| dc.contributor.author | Yıldız, Gülay | |
| dc.contributor.author | Şentürk, Sevil | |
| dc.contributor.editor | Kacprzyk, J | |
| dc.contributor.editor | Szmidt, E | |
| dc.contributor.editor | Zadrozny, S | |
| dc.date.accessioned | 2019-10-21T20:41:34Z | |
| dc.date.available | 2019-10-21T20:41:34Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 978-3-319-66830-7 -- 978-3-319-66829-1 | |
| dc.identifier.issn | 2194-5357 | |
| dc.identifier.issn | 2194-5365 | |
| dc.identifier.uri | https://dx.doi.org/10.1007/978-3-319-66830-7_61 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20827 | |
| dc.description | 10th Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT) / 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (IWIFSGN) -- SEP 11-15, 2017 -- Warsaw, POLAND | en_US |
| dc.description | WOS: 000432315700061 | en_US |
| dc.description.abstract | Reliability is defined as the length of time a component works without failing. The reliability function shows an estimate for the probable amount of time a component should work without experiencing failure. Fuzzy set theory is rather useful for evaluating ambiguity and vagueness that exists within reliability parameters. Fuzzy reliability can model more appropriately a components lifetime if the inputs on the system are fuzzy numbers. Also fuzzy parameters of function can be estimated as fuzzy numbers in a reliability analysis. In this study, the fuzzy lifetime of a component in a refrigerator with censored data is estimated via a fuzzy reliability function for modeling the uncertainty of the process. | en_US |
| dc.description.sponsorship | European Soc Fuzzy Log & Technol, Polish Acad Sci, Dept IV Engn Sci, Polish Acad Sci, Syst Res Inst, Polish Operat & Syst Res Soc | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer International Publishing Ag | en_US |
| dc.relation.ispartofseries | Advances in Intelligent Systems and Computing | |
| dc.relation.isversionof | 10.1007/978-3-319-66830-7_61 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Estimating Fuzzy Life Time with a Fuzzy Reliability Function in the Appliance Sector | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | Advances in Fuzzy Logic and Technology 2017, Vol 1 | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
| dc.identifier.volume | 641 | en_US |
| dc.identifier.startpage | 689 | en_US |
| dc.identifier.endpage | 700 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
| dc.contributor.institutionauthor | Erginel, Nihal | |
