Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart-Reference-Cited by-同舟云学术

Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart

Published:2022-03-01 Issue:1 Volume:23 Page:185-200
ISSN:2450-0291
Container-title:Statistics in Transition New Series
language:en
Short-container-title:

Author:

Adepoju Akeem Ajibola¹^ORCID,Abdulkadir Sauta S.²^ORCID,Jibasen Danjuma²^ORCID,Chiroma Haruna³^ORCID

Affiliation:

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

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

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

Abstract

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.

Publisher

Polskie Towarzystwo Statystyczne

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.sciendo.com/pdf/10.2478/stattrans-2022-0011

Reference40 articles.

1. Adepoju A. A., (2018). Performance of Fuzzy Control Chart over the Traditional Control Chart. Benin Journal of Statistics, Vol 1, pp. 101–112.

2. Adepoju A. A, Isah A. M., Ahmed S., Wasiu Y. A., Samuel A. N., Ibrahim A., (2019). Trapezoid Fuzzy-Shewhart Control Chart Based on α-Level Mid-range Transformation and its Sensitivity Measures. Professional Statisticians Society of Nigeria. Edited Proceedings of 3rd International Conference, Vol. 3, pp. 488–492

3. Adepoju A. A. Mohammed U., Adamu K., Agog N. S., Isah A. M. Yekini W. A. (2019). Interval Type-2 Fuzzy Control Chart for Non-Conformity Per Unit. Professional Statisticians Society of Nigeria. Edited Proceedings of 3rd International Conference, Vol. 3, pp. 493–498.

4. Adepoju A. A., Mohammed U., Sani S. S., Adamu K., Tukur K, Ishaq A. I., (2019). Statistical Properties of Negative Binomial distribution under Imprecise Observation. Journal of the Nigerian Statistical Association, Vol. 31.

5. Castillo, O., Cervantes, L., Soria, J., Sanchez, M., Castro, J. R. (2016). A generalized type-2 fuzzy granular approach with applications to aerospace. Inf. Sci. 354, pp. 165–17710.1016/j.ins.2016.03.001