Principles of Uncertainty
Although measures of the various types of uncertainty-based information (Table 3.5) are not sufficient in human communication [Cherry, 1957], they are highly effective tools for dealing with systems problems of virtually any kind [Klir, 1985]. For the classical information measures (Hartley function and Shannon entropy), which were originally conceived solely as tools for analyzing and designing telecommunication systems, this broad utility is best demonstrated by Ashby [1958, 1965, 1969, 1972] and Conant [1969, 1974, 1976, 1981].
KeywordsMaximum Entropy Shannon Entropy Belief Function Possibility Distribution Evidence Theory
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