A General Theory of Entropy
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Presents an information-knowledge-driven general theory of entropy applicable to all areas of knowing in science, and non-scienceShows how the fuzzy paradigm of thought can apply to fuzzy information to abstract non-fuzzy decision-choice results in variety identification-transformation processesDescribes an information-knowledge framework to include both qualitative and quantitative uncertainties in science and non-scienceDistinguishes among fuzzy conditionality, fuzzy-stochastic conditionality and stochastic conditionality as entropic constraints on the acceptance of information-knowledge certainty in science and non-science
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