Abstract
In a previous paper the fuzzy characterizing function of a random fuzzy number was introduced as an extension of the moment generating function of a realvalued random variable. Properties of the fuzzy characterizing function have been examined, among them, the crucial one proving that it unequivocally determines the distribution of a random fuzzy number in a neighborhood of 0. This property suggests to consider the empirical fuzzy characterizing function as a tool to measure the dissimilarity between the distributions of two random fuzzy numbers, and its expected descriptive potentiality is illustrated by means of a real-life example.
Cite
CITATION STYLE
Lubiano, M. A., Gil, M. Á., Sinova, B., Casals, M. R., & López, M. T. (2017). Measuring the dissimilarity between the distributions of two random fuzzy numbers. In Advances in Intelligent Systems and Computing (Vol. 456, pp. 319–327). Springer Verlag. https://doi.org/10.1007/978-3-319-42972-4_40
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
