Artikel
Interval Type-2 fuzzy exponentially weighted moving average control chart
Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking the measurement in the production process. While the fuzzy approach helps to tackle the ambiguity that arises in the measurement, an interval type-2 fuzzy set deals with such uncertainty better due to its flexibility over the control limits of its control chart. This paper aims to develop an Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart (IT2FEWMA) under the fuzzy type-2 condition. This development will facilitate monitoring small and moderate shifts in the production process in conditions of uncertainty.
- Sprache
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Englisch
- Erschienen in
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Journal: Statistics in Transition new series (SiTns) ; ISSN: 2450-0291 ; Volume: 23 ; Year: 2022 ; Issue: 1 ; Pages: 185-200 ; Warsaw: Sciendo
- Thema
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Exponentially weighted moving average control chart
Fuzzy control chart
Fuzzy sets
Interval Type-2 fuzzy sets
Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart
Statistical process control
- Ereignis
-
Geistige Schöpfung
- (wer)
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Adepoju, Akeem Ajibola
Abdulkadir, Sauta S.
Jibasen, Danjuma
Chiroma, Haruna
- Ereignis
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Veröffentlichung
- (wer)
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Sciendo
- (wo)
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Warsaw
- (wann)
-
2022
- DOI
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doi:10.2478/stattrans-2022-0011
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Adepoju, Akeem Ajibola
- Abdulkadir, Sauta S.
- Jibasen, Danjuma
- Chiroma, Haruna
- Sciendo
Entstanden
- 2022
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