The quantitative-qualitative measure of information as given by Belis and Guiaşu is additive, the additivity being a modification of the additivity of Shannon's measure with due place for utilities of the scheme in this property. A characterization of Belis and Guiaşu's measure depending upon the additivity postulate has been provided. The additivity can be relaxed, and there can be several ways of choosing a nonadditive law in place of additivity. Starting from a particular type of nonadditivity relation we characterize a measure of nonadditive “useful” information, which may be considered as a quantitative-qualitative measure corresponding to the Havrda-Charvat-Vajda-Daróczy entropy of degree β
Axiomatic characterizations of Shannon entropy, Kullback I-divergence, and some generalized informat...
AbstractIn the probabilistic theory of information, measures of information depend only upon the pro...
In Phys. Rev. A 63 022113 (2001), Brukner and Zeilinger claim that the Shannon information is not we...
The quantitative-qualitative measure of information as given by Belis and Guiaşu is additive, the ad...
AbstractThis paper concerns an axiomatic characterization of information measures of dimension k. Th...
In this paper methods are presented for obtaining parametric measures of information from the non-pa...
Some propositions add more information to bodies of propositions than do others. We start with intui...
In summary, in the present Special Issue, manuscripts focused on any of the above-mentioned “Informa...
“A quantitative measure of “information ” is developed which is based on physical as contrasted with...
Results of measurements are messages about the possible values of measurand. As measur· ands can ...
Traditional Shannon\u27s information theory describes the overall amount of information, without dis...
Kullback-Leibler relative-entropy or KL-entropy of P with respect to R defined as ∫xlnddPRdP , where...
International audienceIn 1948 Shannon and Wiener introduced a new measure of information in the fiel...
This paper proposes a quantitative measure relevance which can quantify the difference between usefu...
In this communication, we characterize a measure of information of type (α, β, γ) by taking certain ...
Axiomatic characterizations of Shannon entropy, Kullback I-divergence, and some generalized informat...
AbstractIn the probabilistic theory of information, measures of information depend only upon the pro...
In Phys. Rev. A 63 022113 (2001), Brukner and Zeilinger claim that the Shannon information is not we...
The quantitative-qualitative measure of information as given by Belis and Guiaşu is additive, the ad...
AbstractThis paper concerns an axiomatic characterization of information measures of dimension k. Th...
In this paper methods are presented for obtaining parametric measures of information from the non-pa...
Some propositions add more information to bodies of propositions than do others. We start with intui...
In summary, in the present Special Issue, manuscripts focused on any of the above-mentioned “Informa...
“A quantitative measure of “information ” is developed which is based on physical as contrasted with...
Results of measurements are messages about the possible values of measurand. As measur· ands can ...
Traditional Shannon\u27s information theory describes the overall amount of information, without dis...
Kullback-Leibler relative-entropy or KL-entropy of P with respect to R defined as ∫xlnddPRdP , where...
International audienceIn 1948 Shannon and Wiener introduced a new measure of information in the fiel...
This paper proposes a quantitative measure relevance which can quantify the difference between usefu...
In this communication, we characterize a measure of information of type (α, β, γ) by taking certain ...
Axiomatic characterizations of Shannon entropy, Kullback I-divergence, and some generalized informat...
AbstractIn the probabilistic theory of information, measures of information depend only upon the pro...
In Phys. Rev. A 63 022113 (2001), Brukner and Zeilinger claim that the Shannon information is not we...