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Mean value and variance of fuzzy numbers with non-continuous membership functions. (English) Zbl 1422.62011

Ferraro, Maria Brigida (ed.) et al., Soft methods for data science. Selected papers based on the presentations at the 8th international conference on soft methods in probability and statistics, SMPS 2016, Rome, Italy, September 12–14, 2016. Cham: Springer. Adv. Intell. Syst. Comput. 456, 1-8 (2017).
Summary: We propose a definition of mean value and variance for fuzzy numbers whose membership functions are upper-semicontinuous but are not necessarily continuous. Our proposal uses the total variation of bounded variation functions.
For the entire collection see [Zbl 1355.62005].

MSC:

62-07 Data analysis (statistics) (MSC2010)
62B86 Statistical aspects of fuzziness, sufficiency, and information
62F86 Parametric inference and fuzziness
Full Text: DOI

References:

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