Residual Entropy Function and Its Applications

The word ‗information‘ is very common word used in everyday language. Information transmission usually occurs through human voice (as in telephone, radio, television, etc.), books, newspapers, letters, etc. In all these cases a piece of information is transmitted from one place to another. However, one might like to quantitatively assess the quality of information contained in a piece of information

Divergence Measure in Information Theory and Reliability Analysis

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Entropy and information inequalities.

The concept of information theory originated when an attempt was made to create a theoretical model for the transmission of information theory of various kinds. Information theory is a branch of mathematical theory of probability and is applied in wide variety of fields: communication theory, thermodynamics, econometrics, operation research and psychology etc. The development presented here have represented a step towards generalizing various measures of information, their characterization, application in coding theory and inference.Digital copy of Thesis.University of Kashmir

Fuzzy Entropy Measures and Its Applications

Uncertainty and fuzziness are the basic nature of human thinking and of many real world objectives. Fuzziness is found in our decision, in our language and in the way we process information. The main use of information is to remove uncertainty and fuzziness. In fact, we measure information supplied by the amount of probabilistic uncertainty removed in an experiment and the measure of uncertainty removed is also called as a measure of information while measure of fuzziness is the measure of vagueness and ambiguity of uncertainties