{"title":"(2103-6531) Monte Carlo statistical test for fuzzy quality","authors":"A. Parchami, H. Iranmanesh, B. S. Gildeh","doi":"10.22111/IJFS.2021.6279","DOIUrl":null,"url":null,"abstract":"Testing the capability of a productive process on the basis of the flexible fuzzy quality using Yongting's index is proposed in this paper by the Monte Carlo simulation. The theoretical approach and detailed steps of an algorithm are givento simulate the critical-value-based and also p-value-based approaches to statistical testing fuzzy quality. Also, the probability of type II error of the quality test simulated by Monte Carlo approach. Moreover, a real-world case studyis provided to show the performance of the proposed algorithm for triangular and trapezoidal fuzzy qualities.","PeriodicalId":54920,"journal":{"name":"Iranian Journal of Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Fuzzy Systems","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.22111/IJFS.2021.6279","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Testing the capability of a productive process on the basis of the flexible fuzzy quality using Yongting's index is proposed in this paper by the Monte Carlo simulation. The theoretical approach and detailed steps of an algorithm are givento simulate the critical-value-based and also p-value-based approaches to statistical testing fuzzy quality. Also, the probability of type II error of the quality test simulated by Monte Carlo approach. Moreover, a real-world case studyis provided to show the performance of the proposed algorithm for triangular and trapezoidal fuzzy qualities.
期刊介绍:
The two-monthly Iranian Journal of Fuzzy Systems (IJFS) aims to provide an international forum for refereed original research works in the theory and applications of fuzzy sets and systems in the areas of foundations, pure mathematics, artificial intelligence, control, robotics, data analysis, data mining, decision making, finance and management, information systems, operations research, pattern recognition and image processing, soft computing and uncertainty modeling.
Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere.