Uncertainty-based information. Elements of generalized information theory
2nd edition

Par : George-J Klir, Mark-J Wierman
    • Nombre de pages168
    • PrésentationRelié
    • FormatGrand Format
    • Poids0.365 kg
    • Dimensions16,0 cm × 24,0 cm × 1,5 cm
    • ISBN3-7908-1242-0
    • EAN9783790812428
    • Date de parution01/10/1999
    • Collectionstudies fuzziness computing
    • ÉditeurPhysica-Verlag

    Résumé

    The book is an overview of the development of basic ideas and mathematical results regarding measures and principles of uncertainty-based information formalized within the framework of classical set theory, probability theory, fuzzy set theory, possibility theory, and the Dempster-Shafer theory of evidence. The book contains many new results, which had until now not been available in a single monograph. The book is very useful for researchers, but it can also be used as a graduate text.
    The book is an overview of the development of basic ideas and mathematical results regarding measures and principles of uncertainty-based information formalized within the framework of classical set theory, probability theory, fuzzy set theory, possibility theory, and the Dempster-Shafer theory of evidence. The book contains many new results, which had until now not been available in a single monograph. The book is very useful for researchers, but it can also be used as a graduate text.