Publication: Type-2 fuzzy process capability indices for non-normal processes
| dc.contributor.authors | Senvar, Ozlem; Kahraman, Cengiz | |
| dc.date.accessioned | 2022-03-13T12:45:10Z | |
| dc.date.accessioned | 2026-01-11T05:57:50Z | |
| dc.date.available | 2022-03-13T12:45:10Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | We developed type-2 fuzzy percentile-based standard PCIs for non-normal data via Clements' method. For modeling uncertainty and imprecision of data, interval type-2 fuzzy sets are utilized. To prove usefulness and applicability of the proposed type-2 fuzzy percentile-based standard PCIs, a numerical illustration is performed for the data randomly generated from Log-normal distribution. The results show that in comparison with their crisp types, the proposed type-2 fuzzy percentile-based standard PCIs for non-normal processes are more informative, sensitive and flexible to evaluate the process performance of the industrial processes. | |
| dc.identifier.doi | 10.3233/IFS-131035 | |
| dc.identifier.eissn | 1875-8967 | |
| dc.identifier.issn | 1064-1246 | |
| dc.identifier.uri | https://hdl.handle.net/11424/237731 | |
| dc.identifier.wos | WOS:000341191800019 | |
| dc.language.iso | eng | |
| dc.publisher | IOS PRESS | |
| dc.relation.ispartof | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Process capability index | |
| dc.subject | clements' method | |
| dc.subject | interval type-2 fuzzy set | |
| dc.subject | non-normal processes | |
| dc.title | Type-2 fuzzy process capability indices for non-normal processes | |
| dc.type | article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 781 | |
| oaire.citation.issue | 2 | |
| oaire.citation.startPage | 769 | |
| oaire.citation.title | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | |
| oaire.citation.volume | 27 |