A General Theory of Entropy

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The book introduces an epistemic framework addressing the complexities of information and knowledge within the quality-quantity duality. It presents fuzzy-stochastic entropy as a measurement tool applicable across various domains, considering human cognitive limitations. Building on previous works, the author employs concepts like the principle of opposites and category theory to explore decision-making under uncertainty. The framework aims to enhance understanding of qualitative and quantitative uncertainties, facilitating better decision-making in diverse fields, including science and engineering.