Name: A General Theory of Entropy: Fuzzy Rational Foundations of Information-Knowledge Certainty (en Inglés)
Price: 133.34 USD
Availability: InStock
Author: Dompere, Kofi Kissi
ISBN: 9783030181611

portada A General Theory of Entropy: Fuzzy Rational Foundations of Information-Knowledge Certainty (en Inglés)

Formato

Libro Físico

Autor

Kofi Kissi Dompere

Editorial

Springer

Idioma

Inglés

N° páginas

247

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.5 cm

Peso

0.41 kg.

ISBN13

9783030181611

Categorías

Teoría del juego
Ingeniería: general
Inteligencia artificial

A General Theory of Entropy: Fuzzy Rational Foundations of Information-Knowledge Certainty (en Inglés)

Kofi Kissi Dompere (Autor) · Springer · Tapa Blanda

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Reseña del libro "A General Theory of Entropy: Fuzzy Rational Foundations of Information-Knowledge Certainty (en Inglés)"

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.