Uncertainty-Based Information - George J. Klir, Mark J. Wierman

Uncertainty-Based Information

Elements of Generalized Information Theory
Buch | Softcover
XVI, 168 Seiten
2010 | 2. Softcover reprint of the original 2nd ed. 1999
Physica (Verlag)
978-3-7908-2464-3 (ISBN)
106,99 inkl. MwSt
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.

George J. Klir is currently Distinguished Professor of Systems Science at Binghamton University, SUNY. Since he immigrating to the U.S. in 1966, he has held positions at UCLA, Fairleigh Dickinson University, and Binghamton University. He is a Life Fellow of IEEE, IFSA, and the Netherlands Institute for Advanced Studies. He has served as president of SGSR, IFSR, NAFIPS, and IFSA.

Introduction: Significance of Uncertainty; Uncertainty and Information.- Uncertainty Formalizations: Classical Sets: Terminology and Notation; Fuzzy Set Theory; Fuzzy Measure Theory; Evidence Theory; Probability Theory; Possibility Theory; Overview of Uncertainty Theories.- Uncertainty Measures: Nonspecifity; Conflict; Aggregate Uncertainty in Evidence Theory; Fuzziness; Summary of Uncertainty Measures.- Principles of Uncertainty: Principle of Minimum Uncertainty; Principle of Maximum Uncertainty; Principle of Uncertainty Invariance; Summary of Uncertainty Principles.- Conclusions.

Erscheint lt. Verlag 21.10.2010
Reihe/Serie Studies in Fuzziness and Soft Computing
Zusatzinfo XVI, 168 p.
Verlagsort Heidelberg
Sprache englisch
Maße 155 x 235 mm
Gewicht 288 g
Themenwelt Mathematik / Informatik Mathematik Allgemeines / Lexika
Schlagworte fuzzy • Fuzzy Logic • Fuzzy-Logic • Fuzzy-Logik • Fuzzy-Logik / Unscharfe Logik • Fuzzy Sets and Systems • IEEE transactions on fuzzy systems • Information • Informationstheorie • Information Theory • intern J. of approximate reasoning • intern J. of intelligent systems • intern J. of uncertainty, fuzziness • Knowledge-based systems • Probability Theory • set theory • Shannon • Uncertainty • Unsicherheit • Wahrscheinlichkeitstheorie
ISBN-10 3-7908-2464-X / 379082464X
ISBN-13 978-3-7908-2464-3 / 9783790824643
Zustand Neuware
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