Wiley.Interscience.Uncertainty.and.Information.Foundations.of.Generalized.Information.Theory.Nov.2005.eBook-LinG

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                              :: TEAM LinG PRESENT ::
                                                     

     Uncertainty and Information : Foundations of Generalized Information T
                                      heory


                http://www.amazon.com/exec/obidos/ASIN/0471748676


            MAKER......: TEAM LinG           ISBN.......: 0471748676
            SUPPLIER...: TEAM LinG           LANGUAGE...: English
            PAGES......: 499                 FORMAT.....: PDF
            DATE.......: 2005-12-11          DISKS......: 01 x 5.00 MB


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     Deal with information and uncertainty properly and efficiently using 
     tools emerging from generalized information theory     Uncertainty 
     and Information: Foundations of Generalized Information Theory contain
     s 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 interr
     elated 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:     <ul>     	<li>Mathematical formalizatio
     n of the conceived type of uncertainty</li>     	<li>Calculus for 
     manipulating this particular type of uncertainty</li>     	<li>Justifi
     able ways of measuring the amount of uncertainty in any situation 
     formalizable in the theory</li>     	<li>Methodological aspects of 
     the theory</li>     </ul>     With extensive use of examples and 
     illustrations to clarify complex material and demonstrate practical 
     applications, generous historical and bibliographical notes, end-of-ch
     apter 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 informati
     on.     

     Unpack it, and enjoy it!



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