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Journals / Hacettepe Journal of Mathematics and Statistics / 2012 / Cilt: 41 - Sayı: 3

A SIMULATION BASED APPROACH TO CALCULATE THE FUZZY CORRELATION COEFFICIENT OF FUZZY OBSERVATIONS

Ufuk YOLCU
Cagdas Hakan ALADAG
Erol EGRİOGLU
Pages
361–364
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed approach is applied to fats and oils data to show the applicability of the method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Fuzzy set theory has been widely used in various fields of statistics in recent years.
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Key Findings & Data:The correlation between fuzzy random variables can be measured by a fuzzy correlation coefficient.
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Conclusion & Impact:The proposed approach is applied to fats and oils data to show the applicability of the method.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Fuzzy number · Correlation · Fuzzy Correlation

Abstract

Fuzzy set theory has been widely used in various fields of statistics in recent years. The correlation between fuzzy random variables can be measured by a fuzzy correlation coefficient. When the correlation of the fuzzy random variables has being calculated, mathematical programming and fuzzy arithmetic operations have been used in the literature. In this study, to calculate the fuzzy correlation coefficient, a new approach based on simulation is proposed. It is not necessary to employ mathematical programming or fuzzy arithmetic operations when the proposed method is used. The proposed approach is applied to fats and oils data to show the applicability of the method.

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Cite This Article

YOLCU, U., ALADAG, C. H., EGRİOGLU, E. (2022). A SIMULATION BASED APPROACH TO CALCULATE THE FUZZY CORRELATION COEFFICIENT OF FUZZY OBSERVATIONS. Hacettepe Journal of Mathematics and Statistics, Cilt: 41 - Sayı: 3, 361–364. https://ajindex.com/articles/530473

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