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A General Theory of Entropy - Fuzzy Rational Foundations of Information-Knowledge Certainty (Hardcover, 1st ed. 2019)
Loot Price: R3,948
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A General Theory of Entropy - Fuzzy Rational Foundations of Information-Knowledge Certainty (Hardcover, 1st ed. 2019)
Series: Studies in Fuzziness and Soft Computing, 384
Expected to ship within 12 - 17 working days
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This book presents an epistemic framework for dealing with
information-knowledge and certainty-uncertainty problems within the
space of quality-quantity dualities. It bridges between theoretical
concepts of entropy and entropy measurements, proposing the concept
and measurement of fuzzy-stochastic entropy that is applicable to
all areas of knowing under human cognitive limitations over the
epistemological space. The book builds on two previous monographs
by the same author concerning theories of info-statics and
info-dynamics, to deal with identification and transformation
problems respectively. The theoretical framework is developed by
using the toolboxes such as those of the principle of opposites,
systems of actual-potential polarities and negative-positive
dualities, under different cost-benefit time-structures. The
category theory and the fuzzy paradigm of thought, under
methodological constructionism-reductionism duality, are used in
the fuzzy-stochastic and cost-benefit spaces to point to directions
of global application in knowing, knowledge and decision-choice
actions. Thus, the book is concerned with a general theory of
entropy, showing how the fuzzy paradigm of thought is developed to
deal with the problems of qualitative-quantitative uncertainties
over the fuzzy-stochastic space, which will be applicable to
conditions of soft-hard data, fact, evidence and knowledge over the
spaces of problem-solution dualities, decision-choice actions in
sciences, non-sciences, engineering and planning sciences to
abstract acceptable information-knowledge elements.
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