Uncertainty-Based Information
elements of generalized information theory
$300.02
- Hardcover
168 pages
- Release Date
18 October 1999
Summary
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.
Book Details
| ISBN-13: | 9783790812428 |
|---|---|
| ISBN-10: | 3790812420 |
| Series: | Studies in Fuzziness and Soft Computing |
| Author: | George J. Klir, Mark J. Wierman |
| Publisher: | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG |
| Imprint: | Physica-Verlag GmbH & Co |
| Format: | Hardcover |
| Number of Pages: | 168 |
| Edition: | 2nd |
| Release Date: | 18 October 1999 |
| Weight: | 454g |
| Dimensions: | 235mm x 155mm |
About The Author
George J. Klir
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 B
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