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Monte Carlo statistical test for fuzzy quality | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 10، دوره 19، شماره 1، فروردین و اردیبهشت 2022، صفحه 115-124 اصل مقاله (287.59 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2022.6555 | ||
| نویسندگان | ||
| A. Parchami* 1؛ H. Iranmanesh2؛ B. Sadeghpour Gildeh2 | ||
| 1Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| 2Department of Statistics, Factually of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| چکیده | ||
| 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 given to simulate the critical-value-based and also p-value-based approaches to statistical testing fuzzy quality. Also, the probability of type \textit{II} error of the quality test simulated by Monte Carlo approach. Moreover, a real-world case study is provided to show the performance of the proposed algorithm for triangular and trapezoidal fuzzy qualities. | ||
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آمار تعداد مشاهده مقاله: 265 تعداد دریافت فایل اصل مقاله: 371 |
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