“…In addition, in the context of information theory, the important concept of informational energy is that related to classical mechanics, and can be considered as a measure of the uncertainty or randomness of a probability system [32]. Here, one adopts the conciliatory sense-namely, that entropy describes the amount of disorder or randomness in a system bearing energy or information [32], and that can be also used to evaluate aspects of uncertainty. In this broader sense, there are some generalized entropic forms which are particularly inspired in the context of information theory; for instance, Havdra-Charvat-Tsallis (HCT), Sharma-Mittal (SM), Sharma-Taneja (ST), and attempts to construct a generalized statistics with these forms.…”