Measures of uncertainty are a topic of considerable and growing interest. Recently, the introduction of extropy as a measure of uncertainty, dual to Shannon entropy, has opened up interest in new aspects of the subject. Since there are many versions of entropy, a unified formulation has been introduced to work with all of them in an easy way. Here we consider the possibility of defining a unified formulation for extropy by introducing a measure depending on two parameters. For particular choices of parameters, this measure provides the well-known formulations of extropy. Moreover, the unified formulation of extropy is also analyzed in the context of the Dempster-Shafer theory of evidence, and an application to classification problems is given.
The unified extropy and its versions in classical and Dempster-Shafer theories / Buono, F.; Deng, Y.; Longobardi, M.. - In: JOURNAL OF APPLIED PROBABILITY. - ISSN 0021-9002. - 61:2(2024), pp. 685-696. [10.1017/jpr.2023.68]
The unified extropy and its versions in classical and Dempster-Shafer theories
Buono F.;
2024
Abstract
Measures of uncertainty are a topic of considerable and growing interest. Recently, the introduction of extropy as a measure of uncertainty, dual to Shannon entropy, has opened up interest in new aspects of the subject. Since there are many versions of entropy, a unified formulation has been introduced to work with all of them in an easy way. Here we consider the possibility of defining a unified formulation for extropy by introducing a measure depending on two parameters. For particular choices of parameters, this measure provides the well-known formulations of extropy. Moreover, the unified formulation of extropy is also analyzed in the context of the Dempster-Shafer theory of evidence, and an application to classification problems is given.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2994628