Informační bezpečnost
Information and entropy. A double game with probabilities. (Information et entropie. Un double jeu avec les probabilités.)
Information and entropy of countable measurable partitions. I
Information and Probability: Collectors and Shannon Compositivity.
Information aspects: A tool for redundancy control of data
Information channels composed of memoryless components
Information de Shannon et décomposition des interactions dans une correspondance multiple
Information denoising and quantization by diffusion reaction model.
Information et complexité
Information et complexité
Information flows, graphs and their guessing numbers.
Information in vague data sources
This paper deals with the concept of the “size“ or “extent“ of the information in the sense of measuring the improvement of our knowledge after obtaining a message. Standard approaches are based on the probabilistic parameters of the considered information source. Here we deal with situations when the unknown probabilities are subjectively or vaguely estimated. For the considered fuzzy quantities valued probabilities we introduce and discuss information theoretical concepts.
Information Measure for Vague Symbols
The structures of the fuzzy information theory are focused on the concept of fuzzy entropy, where the individual information of symbols is considered only implicitely. This paper aims to fill this gap and to study the concepts of fuzzy information. Special attention is paid to the typical fuzzy set theoretical paradigma of monotonicity of operations.
Information measures and uncertainty of particular symbols
The measurement of information emitted by sources with uncertainty of random type is known and investigated in many works. This paper aims to contribute to analogous treatment of information connected with messages from other uncertain sources, influenced by not only random but also some other types of uncertainty, namely with imprecision and vagueness. The main sections are devoted to the characterization and quantitative representation of such uncertainties and measures of information produced...
Information transfer in sensory channels with an application in auditory sensorial communication
Information transmission in the case of coding by finite automata
Information-theoretic approach to measurement reduction problems
Information-theoretical optimization techniques
Information-type divergence when the likelihood ratios are bounded
The so-called ϕ-divergence is an important characteristic describing "dissimilarity" of two probability distributions. Many traditional measures of separation used in mathematical statistics and information theory, some of which are mentioned in the note, correspond to particular choices of this divergence. An upper bound on a ϕ-divergence between two probability distributions is derived when the likelihood ratio is bounded. The usefulness of this sharp bound is illustrated by several examples of...
Informazione relativa in uno spazio con legge d'indipendenza qualsiasi.
The notion of relative measure of information in an abstract information space with generalized independence law is studied. The axiomatic definition is given and the form of dependence on the absolute measures is determined, as a solution of a system of functional equations.