Inertial capability index based on fuzzy data
Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. In some cases, quality characteristic and target are not precise numbers and they are expressed in fuzzy terms, so that the classic...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2011-01-01
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| Series: | International Journal of Metrology and Quality Engineering |
| Subjects: | |
| Online Access: | https://www.metrology-journal.org/articles/ijmqe/pdf/2011/01/ijmqe2011008.pdf |
| _version_ | 1819240048076259328 |
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| author | Gildeh B. S. Asghari S. |
| author_facet | Gildeh B. S. Asghari S. |
| author_sort | Gildeh B. S. |
| collection | DOAJ |
| description | Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. In some cases, quality characteristic and target are not precise numbers and they are expressed in fuzzy terms, so that the classical capability indices cannot be applied. In this paper we obtain a confidence interval for inertial capability index Cpi (defined by [Pillet, TQM Mag. 16, 202–209 (2004)]) based on fuzzy data and propose a membership function for it. |
| first_indexed | 2024-12-23T14:01:49Z |
| format | Article |
| id | doaj.art-4c3d104c48234faab3cd950192e51a5a |
| institution | Directory Open Access Journal |
| issn | 2107-6839 2107-6847 |
| language | English |
| last_indexed | 2024-12-23T14:01:49Z |
| publishDate | 2011-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | International Journal of Metrology and Quality Engineering |
| spelling | doaj.art-4c3d104c48234faab3cd950192e51a5a2022-12-21T17:44:18ZengEDP SciencesInternational Journal of Metrology and Quality Engineering2107-68392107-68472011-01-0121454910.1051/ijmqe/2011008ijmqe2011008Inertial capability index based on fuzzy dataGildeh B. S.Asghari S.Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. In some cases, quality characteristic and target are not precise numbers and they are expressed in fuzzy terms, so that the classical capability indices cannot be applied. In this paper we obtain a confidence interval for inertial capability index Cpi (defined by [Pillet, TQM Mag. 16, 202–209 (2004)]) based on fuzzy data and propose a membership function for it.https://www.metrology-journal.org/articles/ijmqe/pdf/2011/01/ijmqe2011008.pdfconfidence intervaldp,q - distancefuzzy random variablemembership functioninertial tolerancinginertial capability index |
| spellingShingle | Gildeh B. S. Asghari S. Inertial capability index based on fuzzy data International Journal of Metrology and Quality Engineering confidence interval dp,q - distance fuzzy random variable membership function inertial tolerancing inertial capability index |
| title | Inertial capability index based on fuzzy data |
| title_full | Inertial capability index based on fuzzy data |
| title_fullStr | Inertial capability index based on fuzzy data |
| title_full_unstemmed | Inertial capability index based on fuzzy data |
| title_short | Inertial capability index based on fuzzy data |
| title_sort | inertial capability index based on fuzzy data |
| topic | confidence interval dp,q - distance fuzzy random variable membership function inertial tolerancing inertial capability index |
| url | https://www.metrology-journal.org/articles/ijmqe/pdf/2011/01/ijmqe2011008.pdf |
| work_keys_str_mv | AT gildehbs inertialcapabilityindexbasedonfuzzydata AT asgharis inertialcapabilityindexbasedonfuzzydata |