区间2型模糊指数加权移动平均控制图

Q4 Mathematics

Statistics in Transition Pub Date : 2022-03-01 DOI:10.2478/stattrans-2022-0011

A. Adepoju, S. S. Abdulkadir, D. Jibasen, H. Chiroma

{"title":"区间2型模糊指数加权移动平均控制图","authors":"A. Adepoju, S. S. Abdulkadir, D. Jibasen, H. Chiroma","doi":"10.2478/stattrans-2022-0011","DOIUrl":null,"url":null,"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.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":"367 2","pages":"185 - 200"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart\",\"authors\":\"A. Adepoju, S. S. Abdulkadir, D. Jibasen, H. Chiroma\",\"doi\":\"10.2478/stattrans-2022-0011\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":37985,\"journal\":{\"name\":\"Statistics in Transition\",\"volume\":\"367 2\",\"pages\":\"185 - 200\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistics in Transition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/stattrans-2022-0011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Transition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/stattrans-2022-0011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}

引用次数: 1

摘要

摘要一些工业数据往往带有不确定性，在某些情况下，这取决于生产过程中负责测量的人员的决定。虽然模糊方法有助于解决测量中出现的模糊性，但区间2型模糊集由于其在控制图的控制极限上的灵活性，可以更好地处理这种不确定性。本文的目的是在模糊2型条件下建立区间2型模糊指数加权移动平均控制图（IT2FEWMA）。这一发展将有助于在不确定的条件下监测生产过程中的小型和中型转变。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.