(2103-6531) Monte Carlo statistical test for fuzzy quality

IF 1.9 4区数学 Q1 MATHEMATICS

Iranian Journal of Fuzzy Systems Pub Date : 2021-08-13 DOI:10.22111/IJFS.2021.6279

A. Parchami, H. Iranmanesh, B. S. Gildeh

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.

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模糊质量的蒙特卡罗统计检验

本文通过蒙特卡罗仿真，提出了基于柔性模糊质量的永廷指标对生产过程能力进行测试的方法。给出了基于临界值和基于p值的模糊质量统计检验方法的理论方法和具体算法步骤。同时，用蒙特卡罗方法模拟了质量测试的二类误差概率。此外，还提供了一个实际案例研究，以展示所提出的算法在三角形和梯形模糊质量方面的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Iranian Journal of Fuzzy Systems 数学-数学

CiteScore

3.50

自引率

16.70%

发文量

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 Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere.