The concept of the so-called fuzzy random variables has been introduced in the literature aiming to model random mechanisms ‘producing’ fuzzy values. However, the best known approaches (namely, the one by Kwakernaak-Kruse and Meyer and the one by Féron-Puri and Ralescu) have been thought to deal with two different situations and, to a great extent, with two different probabilistic and statistical targets. This contribution highlights some of the most remarkable differences and coincidences between the two approaches.
CITATION STYLE
Ángeles Gil, M. (2018). Fuzzy random variables à la Kruse & Meyer and à la Puri & Ralescu: Key differences and coincidences. In Studies in Computational Intelligence (Vol. 739, pp. 21–29). Springer Verlag. https://doi.org/10.1007/978-3-319-67789-7_2
Mendeley helps you to discover research relevant for your work.