01654nam a2200217Ia 4500 CTU_165882 210402s9999 xx 000 0 und d 105.96 003.54 K65 Klir, George J. Uncertainty and information : Foundations of generalized information theory George J. Klir Hoboken, N.J. Wiley-Interscience 2006 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. Uncertainty (Information theory),Bất định (Lý thuyết thông tin) Trọng Hải Trung tâm Học liệu Trường Đại học Cần Thơ