Abstract
The interpretation of degrees of membership as statistical likelihood is probably the oldest interpretation of fuzzy sets. It allows in particular to easily incorporate fuzzy data and fuzzy inferences in statistical methods, and sheds some light on the central role played by extension principle and α-cuts in fuzzy set theory.
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APA
Cattaneo, M. E. G. V. (2017). The likelihood interpretation of fuzzy data. In Advances in Intelligent Systems and Computing (Vol. 456, pp. 113–120). Springer Verlag. https://doi.org/10.1007/978-3-319-42972-4_14
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