A simulation based approach to calculate the fuzzy correlation coefficient of fuzzy observations

Aladag, Cagdas Hakan and Egrioglu, Erol and Yolcu, Ufuk (2012) A simulation based approach to calculate the fuzzy correlation coefficient of fuzzy observations. Hacettepe Journal of Mathematics and Statistics, 41 (3). pp. 361-364. ISSN 1303-5010

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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.

Item Type:
Journal Article
Journal or Publication Title:
Hacettepe Journal of Mathematics and Statistics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2608
Subjects:
ID Code:
139549
Deposited By:
Deposited On:
17 Dec 2019 09:15
Refereed?:
Yes
Published?:
Published
Last Modified:
13 May 2020 06:56