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Article type: Research Article
Authors: Thao, Nguyen Xuana; * | Ali, Mumtazb | Smarandache, Florentinc
Affiliations: [a] Faculty of Information Technology, Vietnam National University of Agriculture, Ha Noi, Viet Nam | [b] University of Southern Queensland QLD, Springfield, Australia | [c] Department of Mathematics, University of New Mexico, Gallup, NM, USA
Correspondence: [*] Corresponding author. Nguyen Xuan Thao, Faculty of Information Technology, Vietnam National University of Agriculture, Ha Noi, Viet Nam. E-mail: [email protected].
Abstract: In this paper, we propose a new correlation coefficient between intuitionistic fuzzy sets. We then use this new result to compute some examples through which we find that it benefits from such an outcome with some well-known results in the literature. As in statistics with real variables, we refer to variance and covariance between two intuitionistic fuzzy sets. Then, we determined the formula for calculating the correlation coefficient based on the variance and covariance of the intuitionistic fuzzy set, the value of this correlation coefficient is in [–1,1]. Then, we develop this direction to build correlation coefficients between the interval-valued intuitionistic fuzzy sets and apply it in the pattern recognition problem. Finally, we apply this correlation coefficient in clustering problem with intuitionistic fuzzy information.
Keywords: Intuitionistic fuzzy set, interval –valued intuitionistic fuzzy set, variance, covariance, correlation coefficient
DOI: 10.3233/JIFS-181084
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 189-198, 2019
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