Statistical Parameters Based on Fuzzy Measures

In this paper, we study the problem of defining statistical parameters when the uncertainty is expressed using a fuzzy measure. We extend the concept of monotone expectation in order to define a monotone variance and monotone moments. We also study parameters that allow the joint analysis of two fun...

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Hlavní autoři: Reche Lorite, Fernando, Morales Giraldo, María Encarnación, Salmerón Cerdán, Antonio
Médium: info:eu-repo/semantics/article
Jazyk:English
Vydáno: MDPI 2020
Témata:
On-line přístup:http://hdl.handle.net/10835/8923
Popis
Shrnutí:In this paper, we study the problem of defining statistical parameters when the uncertainty is expressed using a fuzzy measure. We extend the concept of monotone expectation in order to define a monotone variance and monotone moments. We also study parameters that allow the joint analysis of two functions defined over the same reference set. Finally, we propose some parameters over product spaces, considering the case in which a function over the product space is available and also the case in which such function is obtained by combining those in the marginal spaces.