Work

Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart

Year: 2022

Type: article

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.

Source: Statistics in Transition New Series

DOI: 10.2478/stattrans-2022-0011

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

Institutions: Modibbo Adama University of Technology, University of Hafr Al-Batin

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4312820050

FWCI:

Cites: 33

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Related to: 10