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Uncertainty-based Information: Elements of Generalized Information Theory (Studies in Fuzziness and Soft Computing)
 
 
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Uncertainty-based Information: Elements of Generalized Information Theory (Studies in Fuzziness and Soft Computing) (Hardcover)

by George J. Klir (Author), Mark J. Wierman (Author) "Mathematical theories of uncertainty in which measures of uncertainty are now well established are fuzzy set theory, evidence theory, and possibility theory, in addition to..." (more)
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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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Mathematical theories of uncertainty in which measures of uncertainty are now well established are fuzzy set theory, evidence theory, and possibility theory, in addition to classical set theory and probability theory. Read the first page
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