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Information Journal Paper

Title

Monte Carlo statistical test for fuzzy quality

Pages

  115-124

Abstract

 Testing the capability of a productive process on the basis of the exible 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 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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    • Cite

    APA: Copy

    PARCHAMI, A., Iranmanesh, H., & SADEGHPOUR GILDEH, B.. (2022). Monte Carlo statistical test for fuzzy quality. IRANIAN JOURNAL OF FUZZY SYSTEMS, 19(1 ), 115-124. SID. https://sid.ir/paper/413975/en

    Vancouver: Copy

    PARCHAMI A., Iranmanesh H., SADEGHPOUR GILDEH B.. Monte Carlo statistical test for fuzzy quality. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2022;19(1 ):115-124. Available from: https://sid.ir/paper/413975/en

    IEEE: Copy

    A. PARCHAMI, H. Iranmanesh, and B. SADEGHPOUR GILDEH, “Monte Carlo statistical test for fuzzy quality,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 19, no. 1 , pp. 115–124, 2022, [Online]. Available: https://sid.ir/paper/413975/en

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