Marco E. G. V. Cattaneo
The likelihood interpretation of fuzzy data
Cattaneo, Marco E. G. V.
© Springer International Publishing Switzerland 2017. 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.
|Journal Article Type||Article|
|Journal||Soft methods for data science|
|Peer Reviewed||Not Peer Reviewed|
|Book Title||Advances in Intelligent Systems and Computing; Soft Methods for Data Science|
|APA6 Citation||Cattaneo, M. E. G. V. (2017). The likelihood interpretation of fuzzy data. Advances in Intelligent Systems and Computing, 456, 113-120. doi:10.1007/978-3-319-42972-4_14|
|Keywords||Fuzzy sets, Foundations, Likelihood function, Measurement error, Fuzzy inference|
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