Uncertainty and Information : Foundations of Generalized Information Theory / by G. J. Klir. [Electronic Resource]
Material type: Computer filePublication details: Chichester : Wiley, 2006Description: xvii, 499pISBN:- 9780471755579
- 003.54Â K68U
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
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e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 003.54 K68U (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : Wiley | EB0016 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
003.3 L41S Simulation Modeling and Analysis | 003.5 Sh17C Cooperative Control of Distributed Multi - Agent Systems | 003.54 C838E Elements of Information Theory | 003.54 K68U Uncertainty and Information : Foundations of Generalized Information Theory | 003.85 Al55C Chaos : An Introduction to Dynamical Systems | 003.857 H543C Chaos and Nonlinear Dynamics : An Introduction for Scientists and Engineers | 003.8570151 B226C Chaos : A Mathematical Introduction |
Bibliography: 458-486p.
Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early 1990s under the name "generalized information theory" (GIT). This ongoing research program aims to develop a formal mathematical treatment of the interrelated concepts of uncertainty and information in all their varieties. In GIT, as in classical information theory, uncertainty (predictive, retrodictive, diagnostic, prescriptive, and the like) is viewed as a manifestation of information deficiency, while information is viewed as anything capable of reducing the uncertainty. A broad conceptual framework for GIT is obtained by expanding the formalized language of classical set theory to include more expressive formalized languages based on fuzzy sets of various types, and by expanding classical theory of additive measures to include more expressive non-additive measures of various types.
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