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Wednesday, July 22, 2020 | History

2 edition of Information type measures and their applications to finite decision-problems found in the catalog.

Information type measures and their applications to finite decision-problems

Tibor Nemetz

Information type measures and their applications to finite decision-problems

lecture notes

by Tibor Nemetz

  • 98 Want to read
  • 12 Currently reading

Published by [Carleton University, Dept. of Mathematics] in [Ottawa] .
Written in English

    Subjects:
  • Entropy (Information theory) -- Mathematical models,
  • Statistical decision

  • Edition Notes

    Bibliography: leaves 161-163.

    Statementby Tibor Nemetz.
    SeriesCarleton mathematical lecture notes -- no. 17
    Classifications
    LC ClassificationsQA279.4 N4
    The Physical Object
    Pagination163 leaves :
    Number of Pages163
    ID Numbers
    Open LibraryOL21828964M

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Information type measures and their applications to finite decision-problems by Tibor Nemetz Download PDF EPUB FB2

This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon’s mathematical theory of communication, but much of the space is devoted to the tools and methodsFile Size: 1MB.

Information theory studies the quantification, storage, and communication of was originally proposed by Claude Shannon in to find fundamental limits on signal processing and communication operations such as data compression, in a landmark paper titled "A Mathematical Theory of Communication".Its impact has been crucial to the success of the Voyager missions to deep space.

One of the first books to provide in-depth and systematic application of finite element methods to the field of stochastic structural dynamics The parallel developments of the Finite Element.

Fuzzy measures over the interval valued fuzzy sets provide useful information such as “non-specificity”, “belief”, etc. Based on these results, a new approach is put forth for the. Qualitative and hesitant information is common in practical decision making process.

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A similarity measure is an important tool for determining the degree of similarity between two objects. Measures of similarity between fuzzy sets, as an important content in fuzzy mathematics, have gained attention from researchers for their wide applications in various fields.

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L mδ -measure: fuzzy measure composed of maximized L-measure and Delta-measure The fuzzy measures (or capacities) are functions that determine a weight considering the interrelation (or. This is a companion book to Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A.

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Many detailed examples, not found in the literature, are included. Measures of Uncertainty Based on Gaussian Kernel for Type-2 Fuzzy Information Systems. New Similarity Measures for Dual Hesitant Fuzzy Sets and Their Application. Ruiping Yuan, Fanyong Meng.

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Dear Colleagues, The theory and applications of integral transformations and associated operational calculus are remarkably wide-spread in many diverse areas of the mathematical, physical, chemical, engineering and statistical sciences. Abstract. This chapter provides the main definitions and discusses different classes of fuzzy measures and relations between them.

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CiteScore values are based on citation counts in a range of four years (e.g. ) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of.This book presents the most important aspects of analysis of dynamical processes taking place on the human body surface.

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