Uncertainty-Based Information: Elements of Generalized Information Theory (Studies in Fuzziness and Soft Computing) Mark Wierman - kelloggchurch.org

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. Find many great new & used options and get the best deals for Studies in Fuzziness and Soft Computing Ser.: Uncertainty-Based Information: Elements of Generalized Information Theory by Mark J. Wierman and George J. Klir 1999, Hardcover at the best online prices at eBay! Free shipping for many products!

Uncertainty-Based Information Elements of Generalized Information Theory. Authors view affiliations George J. Klir; Mark J. Wierman. COVID-19 Resources. Reliable information about the coronavirus COVID-19 is available from the World Health Organization current situation, international travel.Numerous and frequently-updated resource results are available from thissearch.OCLC’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus. Uncertainty and Information: Foundations of Generalized Information Theory George J. Klir The principle aim of this book is to provide readers with a comprehensive and in-depth overview of GIT research to create a unified framework of the technology's diverse uncertainty theories.

Deal with information and uncertainty properly and efficiently 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. Uncertainty-based information: Elements of generalized information theory studies in fuzziness and soft computing. G. Klir, M. J. Wierman Mathematics, Computer Science.

Elements of Generalized Information Theory. Studies in Fuzziness and Soft Computing. Studies in Fuzziness and Soft Computing. Springer-Verlag 1998 zbMATH Google Scholar. G. Klir, M.J. Wierman, Uncertainty-based information: Elements of generalized information theory studies in fuzziness and soft computing, 2013. Google Scholar [29]. Fuzziness and Soft Computing,. A novel approach to measuring uncertainty and uncertainty-based information in Dempster-Shafer theory is proposed independently also proposed by Maeda et al.

the area of generalized information theory-a theory that deals with uncertainty-based infor-mation within mathematical frameworks that are broader than classical set theory and prob-ability theory. Introduces five mathematical theories of uncertainty: classical set theory, fuzzy set theory, fuzzy measure theory, evi-dence theory, probability theory, and possibility theory. Distinguishes three.

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