Monte Carlo statistical test for fuzzy quality

Document Type : Research Paper

Authors

1 Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

2 Department of Statistics, Factually of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

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 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.

Keywords

References

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Iranian Journal of Fuzzy Systems
Volume 19, Issue 1
January and February 2022
Pages 115-124

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