Uncertainty-based information : elements of generalized information theory /
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 e...
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| Format: | eBook |
| Language: | English |
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New York :
Physica-Verlag,
1999.
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| Edition: | Second corrected edition. |
| Series: | Studies in fuzziness and soft computing ;
vol. 15. |
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| Online Access: | Connect to the full text of this electronic book |
| 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. |
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| Physical Description: | 1 online resource (xvi, 168 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783790818697 (electronic bk.) 3790818690 (electronic bk.) |