Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart

• Authors: Akeem Ajibola Adepoju , Sauta S. Abdulkadir , Danjuma Jibasen , Haruna Chiroma

Abstracts

EN

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

EN

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

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2022
• Volume: 23
• Issue: 1
• Pages: 185-200

Dates

published

2022

Contributors

author

Akeem Ajibola Adepoju

• Department of Statistics, Kano University of Science and Technology, Wudil. Kano State. Nigeria

• https://orcid.org/0000000313767369

author

Sauta S. Abdulkadir

• Department of Statistics and Operation Research, Modibb Adama University. Adamawa State, Nigeria

• https://orcid.org/0000000291048207

author

Danjuma Jibasen

• Department of Statistics and Operation Research, Modibb Adama University. Adamawa State, Nigeria

• https://orcid.org/000000033190235X

author

Haruna Chiroma

• Ins Department of Computer and Engineering, University of Hafr Al Batin, Saudi Arabia

• https://orcid.org/0000000334464316

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Identifiers

DOI

10.21307/stattrans-2022-011

Biblioteka Nauki

2021442