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000913132 019__ $$a1117305260$$a1117702062
000913132 020__ $$a9783030181598$$q(electronic book)
000913132 020__ $$a3030181596$$q(electronic book)
000913132 020__ $$z3030181588
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000913132 0247_ $$a10.1007/978-3-030-18
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000913132 049__ $$aISEA
000913132 050_4 $$aQ370
000913132 08204 $$a003.54$$223
000913132 1001_ $$aDompere, K. K.,$$eauthor.
000913132 24510 $$aA general theory of entropy :$$bfuzzy rational foundations of information-knowledge certainty /$$cKofi Kissi Dompere.
000913132 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019]
000913132 300__ $$a1 online resource
000913132 336__ $$atext$$btxt$$2rdacontent
000913132 337__ $$acomputer$$bc$$2rdamedia
000913132 338__ $$aonline resource$$bcr$$2rdacarrier
000913132 4901_ $$aStudies in fuzziness and soft computing,$$x1860-0808 ;$$vvolume 384
000913132 504__ $$aIncludes bibliographical references.
000913132 5050_ $$aThe relational structure between the general information definition and entropy -- Some reflections on the concept and measurement of entropy in info-knowledge -- The principle of opposites, epistemological -- Information measurement and entropy in information-knowledge certainty -- Fuzzy-paradigmatic reflections on possibility -- The fuzzy-stochastic entropy and the concept of a hybrid measures of uncertainty -- Comparative analytics: fuzzy-stochastic and non-fuzzy stochastic entropies -- Some simple epistemic reflections on information, knowledge and entropy.
000913132 506__ $$aAccess limited to authorized users.
000913132 520__ $$aThis book presents an epistemic framework for dealing with information-knowledge and certainty-uncertainty problems within the space of quality-quantity dualities. It bridges between theoretical concepts of entropy and entropy measurements, proposing the concept and measurement of fuzzy-stochastic entropy that is applicable to all areas of knowing under human cognitive limitations over the epistemological space. The book builds on two previous monographs by the same author concerning theories of info-statics and info-dynamics, to deal with identification and transformation problems respectively. The theoretical framework is developed by using the toolboxes such as those of the principle of opposites, systems of actual-potential polarities and negative-positive dualities, under different cost-benefit time-structures. The category theory and the fuzzy paradigm of thought, under methodological constructionism-reductionism duality, are used in the fuzzy-stochastic and cost-benefit spaces to point to directions of global application in knowing, knowledge and decision-choice actions. Thus, the book is concerned with a general theory of entropy, showing how the fuzzy paradigm of thought is developed to deal with the problems of qualitative-quantitative uncertainties over the fuzzy-stochastic space, which will be applicable to conditions of soft-hard data, fact, evidence and knowledge over the spaces of problem-solution dualities, decision-choice actions in sciences, non-sciences, engineering and planning sciences to abstract acceptable information-knowledge elements.
000913132 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 29, 2019).
000913132 650_0 $$aEntropy (Information theory)
000913132 650_0 $$aFuzzy mathematics.
000913132 77608 $$iPrint version: $$z3030181588$$z9783030181581$$w(OCoLC)1090486988
000913132 830_0 $$aStudies in fuzziness and soft computing ;$$vv. 384.
000913132 852__ $$bebk
000913132 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-18159-8$$zOnline Access$$91397441.1
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000913132 980__ $$aBIB
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000913132 983__ $$aOnline
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