Uncertainty based information elements of generalized information theory George J. Klir, Mark J. Wierman. Studies in fuzziness and soft computing 15; Studies in fuzziness and soft computing 15/Ed.2.. This item is unavailable.
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Language: English
Published by Heidelberg, Physica-Verlag, 1999
- Hardcover
- Used

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Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C 1089: (1999) 9783790812428 Sprache: Englisch Gewicht in Gramm: 500.
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- Title
- Uncertainty based information elements of generalized information theory George J. Klir, Mark J. Wierman. Studies in fuzziness and soft computing 15; Studies in fuzziness and soft computing 15/Ed.2.
- Author
- Klir, George J.:
- Publisher
- Heidelberg, Physica-Verlag
- Publication year
- 1999
- Condition
- Gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3790812420
- ISBN 13
- 9783790812428
- Edition
- 2nd Edition
- Item weight
- 500 grams
- Seller catalogs
- SA MATHEMATIK
Information is precious. It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage. It changes the course of lives, nations, and history itself. Information is the food of Maxwell's demon. His power comes from know ing which particles are hot and which particles are cold. His existence was paradoxical to classical physics and only the realization that information too was a source of power led to his taming. Information has recently become a commodity, traded and sold like or ange juice or hog bellies. Colleges give degrees in information science and information management. Technology of the computer age has provided access to information in overwhelming quantity. Information has become something worth studying in its own right. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory. The volume is organized as follows.
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