000			01819nmm a2200193Ia 4500
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020			_a9780471755579
082			_a003.54 _bK68U
100			_aKlir, G. J. _eAuthor _lEnglish _9619
245		0	_aUncertainty and Information _b: Foundations of Generalized Information Theory _c/ by G. J. Klir. _h[Electronic Resource]
260			_aChichester _b: Wiley, _c2006
300			_axvii, 499p.
504			_aBibliography: 458-486p.
520			_aDeal 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). This ongoing research program aims to develop a formal mathematical treatment of the interrelated 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.
650			_aClassical Probability _9620
650			_aFuzzy Set Theory _9621
856			_uhttp://onlinelibrary.wiley.com/book/10.1002/0471755575 _qPDF _yClick to Access the Online Book
942			_cEBK _nYes
999			_c11880 _d11880