Carlsson and Fullér introduced the notions of possibilistic mean value and variance of fuzzy numbers. Fullér and Majlender introduced a measure of possibilistic covariance between marginal distributions of a joint possibility distribution as the average value of the interactivity relation between the level sets of its marginal distributions. Fullér et al. introduced the possibilistic correlation ratio, the possibilistic correlation coefficient and the possibilistic informational coefficient of correlation. In this paper we give a short survey of some later works which extend and develop these notions.
CITATION STYLE
Fullér, R., & Harmati, I. (2018). On possibilistic dependencies: A short survey of recent developments. In Studies in Fuzziness and Soft Computing (Vol. 360, pp. 261–273). Springer Verlag. https://doi.org/10.1007/978-3-319-64286-4_16
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