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

Par : George-J Klir, Mark-J Wierman
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  • 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.