Fuzzy random variables à la Kruse & Meyer and à la Puri & Ralescu: Key differences and coincidences

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Abstract

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.

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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

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