On Inaccuracy Generating Functions of Probability Distributions.
On information in categories
On Information-Improvement.
On Information-Improvement and its Generalization.
On measurable solutions of a functional equation and their application to information theory
In this paper, measurable solutions of a functional equation with four unknown functions are obtained. As an application of the measurable solutions a joint characterization of Shannon’s entropy and entropy of type is given.
On non-additive measures of inaccuracy
On solution sets of information inequalities
We investigate solution sets of a special kind of linear inequality systems. In particular, we derive characterizations of these sets in terms of minimal solution sets. The studied inequalities emerge as information inequalities in the context of Bayesian networks. This allows to deduce structural properties of Bayesian networks, which is important within causal inference.
On some Basic Properties of the Kolmogorov Complexity
On Some Functional Equations And Their Applications
On some functional equations and their applications.
On Some Functional Equations Concerning Entropy, Directed Divergence and Inaccuracy.
On some generalized functional equations in information theory.
On some new measures of uncertainty, inaccuracy and information and their characterizations
On specificity and entropy measures.
On the algebraic structure of fuzzy sets of type 2
On the amount of information contained in a sequence of independent observations
On the asymptotic rate of non-ergodic information sources
On the coding theorem for decomposable discrete information channels. II
On the coding theorem for decomposable discrete information channels. I
On the Entropy and Inaccuracy of Similarly and Oppositely Ordered Discrete Probability Distributions (I).