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Autor
Adepoju Akeem Ajibola (Kano University of Science and Technology, Wudil, Kano State, Nigeria), Abdulkadir Sauta S. (Modibbo Adama University of Technology, Adamawa State, Nigeria), Jibasen Danjuma (Modibbo Adama University of Technology, Adamawa State, Nigeria), Chiroma Haruna (University of Hafr Al Batin, Saudi Arabia)
Tytuł
Interval Type-2 Fuzzy Exponentially Weighted Moving Average Control Chart
Źródło
Statistics in Transition, 2022, vol. 23, nr 1, s. 185-200, tab., bibliogr. 40 poz.
Słowa kluczowe
Karty kontrolne, Zbiory rozmyte, Analiza statystyczna
Control charts, Fuzzy sets, Statistical analysis
Uwagi
summ.
Abstrakt
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. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Pełny tekst
Pokaż
Bibliografia
Pokaż
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Cytowane przez
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ISSN
1234-7655
Język
eng
URI / DOI
http://dx.doi.org/10.21307/stattrans-2022-011
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