| dc.contributor.author | Erginel, Nihal | |
| dc.contributor.author | Şentürk, Sevil | |
| dc.contributor.editor | Kahraman, C | |
| dc.contributor.editor | Kabak, O | |
| dc.date.accessioned | 2019-10-21T20:41:34Z | |
| dc.date.available | 2019-10-21T20:41:34Z | |
| dc.date.issued | 2016 | |
| dc.identifier.isbn | 978-3-319-39014-7 -- 978-3-319-39012-3 | |
| dc.identifier.issn | 1434-9922 | |
| dc.identifier.uri | https://dx.doi.org/10.1007/978-3-319-39014-7_15 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20824 | |
| dc.description | WOS: 000389034800016 | en_US |
| dc.description.abstract | Exponentially Weighted Moving- Averages (EWMA) and Cumulative-Sum (CUSUM) control charts have the ability of detecting small shifts in the process mean. Classical EWMA and CUSUM charts are not capable to capture the uncertainty in case of incomplete data. Fuzzy EWMA and CUSUM control charts are developed in this chapter and numerical illustrations are given. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer Int Publishing Ag | en_US |
| dc.relation.ispartofseries | Studies in Fuzziness and Soft Computing | |
| dc.relation.isversionof | 10.1007/978-3-319-39014-7_15 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Cusum | en_US |
| dc.subject | Ewma | en_US |
| dc.subject | Shewhart Control Charts | en_US |
| dc.subject | Fuzzy Sets | en_US |
| dc.subject | Tabular Cusum | en_US |
| dc.subject | V-Mask | en_US |
| dc.title | Fuzzy EWMA and Fuzzy CUSUM Control Charts | en_US |
| dc.type | bookPart | en_US |
| dc.relation.journal | Fuzzy Statistical Decision-Making: Theory and Applications | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
| dc.identifier.volume | 343 | en_US |
| dc.identifier.startpage | 281 | en_US |
| dc.identifier.endpage | 295 | en_US |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US] |
| dc.contributor.institutionauthor | Erginel, Nihal | |
