Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart

Adepoju Akeem Ajibola (), Abdulkadir Sauta S. (), Jibasen Danjuma () and Chiroma Haruna ()
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Adepoju Akeem Ajibola: Department of Statistics, Kano University of Science and Technology, Wudil. Kano State . Nigeria .
Abdulkadir Sauta S.: Department of Statistics and Operation Research, Modibb Adama University. Adamawa State, Nigeria .
Jibasen Danjuma: Department of Statistics and Operation Research, Modibb Adama University. Adamawa State, Nigeria .
Chiroma Haruna: Ins Department of Computer and Engineering, University of Hafr Al Batin, Saudi Arabia .

Statistics in Transition New Series, 2022, vol. 23, issue 1, 185-200

Abstract: 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.

Keywords: 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 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:23:y:2022:i:1:p:185-200:n:3

DOI: 10.2478/stattrans-2022-0011

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