Uncertainty and Information (eBook)
518 Seiten
John Wiley & Sons (Verlag)
978-0-471-75556-2 (ISBN)
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.
This landmark book examines each of several theories for dealing
with particular types of uncertainty at the following four
levels:
* Mathematical formalization of the conceived type of
uncertainty
* Calculus for manipulating this particular type of
uncertainty
* Justifiable ways of measuring the amount of uncertainty in any
situation formalizable in the theory
* Methodological aspects of the theory
With extensive use of examples and illustrations to clarify complex
material and demonstrate practical applications, generous
historical and bibliographical notes, end-of-chapter exercises to
test readers' newfound knowledge, glossaries, and an Instructor's
Manual, this is an excellent graduate-level textbook, as well as an
outstanding reference for researchers and practitioners who deal
with the various problems involving uncertainty and information. An
Instructor's Manual presenting detailed solutions to all the
problems in the book is available from the Wiley editorial
department.
GEORGE J. KLIR, PhD, is currently Distinguished Professor of Systems Science at Binghamton University, SUNY. Since 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. He has published over 300 research papers and sixteen books, and has edited ten books. He has also served as Editor in Chief of the International Journal of General Systems since 1974 and of the IFSR International Book Series on Systems Science and Engineering since 1985. He has received numerous professional awards, including five honorary doctoral degrees, Bernard Bolzano's Gold Medal, Arnold Kaufmann's Gold Medal, and the SUNY Chancellor's Award for "Exemplary Contributions to Research and Scholarship." He is listed in Who's Who in America and Who's Who in the World. His current research interests include intelligent systems, soft computing, generalized information theory, systems modeling and design, fuzzy systems, and the theory of generalized measures. He has guided twenty-nine successful doctoral dissertations in these areas. Some of his research has been funded by grants from NSF, ONR, the United States Air Force, NASA, Sandia Labs, NATO, and various industries.
"..will establish a better understanding of the complex
concepts...will make significant contributions toward
stimulating research in the area of generalized information
theory." (Computing Reviews.com, October 17, 2006)
"...contains comprehensive and up-to-date coverage...can
serve as a graduate-level text and a reference for researchers and
practitioners..." (IEEE Computer Magazine, February
2006)
Erscheint lt. Verlag | 22.11.2005 |
---|---|
Reihe/Serie | Wiley - IEEE | Wiley - IEEE |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Naturwissenschaften | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Computer Science • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Engineering statistics • Fuzzy-Logik • Fuzzy-Systeme • Fuzzy Systems • Informatik • Informationstechnologie • Information Technologies • Statistics • Statistik • Statistik in den Ingenieurwissenschaften • Technische Statistik |
ISBN-10 | 0-471-75556-7 / 0471755567 |
ISBN-13 | 978-0-471-75556-2 / 9780471755562 |
Haben Sie eine Frage zum Produkt? |
Größe: 6,0 MB
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