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Sinopsis
Fuzzy set theory has capability to describe the uncertain situations, containing ambiguity and vagueness. Fuzziness is found in our decision, in our thinking, in the way we process information, and particularly in our language.The objective of the book is to study fuzzy mathematics with applications and to characterize new measures of fuzzy information with their various generalizations. The fuzzy information measure deals with vague and ambiguous uncertainties. Large number of measures of entropy, directed divergence and symmetric divergence for probability distributions are known. Analogously, there is a set of variety of measures for fuzzy sets available. Cross-entropy measure is also known as the information discrepancy between two probability distributions. Derived from cross-entropy, fuzzy directed divergence measures the dissimilarity between two fuzzy sets. Various generalized measures of fuzzy information have been introduced. The concept of `useful' fuzzy information by attaching utility to the uncertainties of fuzziness and probabilities of randomness has been introduced.
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Fuzzy set theory has capability to describe the uncertain situations, containing ambiguity and vagueness. Fuzziness is found in our decision, in our thinking, in the way we process information, and particularly in our language.The objective of the book is to study fuzzy mathematics with applications and to characterize new measures of fuzzy information with their various generalizations. The fuzzy information measure deals with vague and ambiguous uncertainties. Large number of measures of entropy, directed divergence and symmetric divergence for probability distributions are known. Analogously, there is a set of variety of measures for fuzzy sets available. Cross-entropy measure is also known as the information discrepancy between two probability distributions. Derived from cross-entropy, fuzzy directed divergence measures the dissimilarity between two fuzzy sets. Various generalized measures of fuzzy information have been introduced. The concept of `useful' fuzzy information by attaching utility to the uncertainties of fuzziness and probabilities of randomness has been introduced.
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Fuzzy Sets and Information
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838351487
ISBN 13: 9783838351483
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bajaj RakeshRakesh Kr Bajaj received M.Sc. from IIT, Kanpur in 2003 and Ph.D.(Maths) from Jaypee University of Information Technology, Waknaghat in 2009. He is a faculty in Deptt. of Mathematics, JUIT, Waknaghat. Prof. D.S. Hooda is . Nº de ref. del artículo: 5415562
Cantidad disponible: Más de 20 disponibles
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Fuzzy Sets and Information
Publicado por
LAP LAMBERT Academic Publishing Mrz 2010, 2010
ISBN 10: 3838351487
ISBN 13: 9783838351483
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fuzzy set theory has capability to describe the uncertain situations, containing ambiguity and vagueness. Fuzziness is found in our decision, in our thinking, in the way we process information, and particularly in our language.The objective of the book is to study fuzzy mathematics with applications and to characterize new measures of fuzzy information with their various generalizations. The fuzzy information measure deals with vague and ambiguous uncertainties. Large number of measures of entropy, directed divergence and symmetric divergence for probability distributions are known. Analogously, there is a set of variety of measures for fuzzy sets available. Cross-entropy measure is also known as the information discrepancy between two probability distributions. Derived from cross-entropy, fuzzy directed divergence measures the dissimilarity between two fuzzy sets. Various generalized measures of fuzzy information have been introduced. The concept of `useful' fuzzy information by attaching utility to the uncertainties of fuzziness and probabilities of randomness has been introduced. 152 pp. Englisch. Nº de ref. del artículo: 9783838351483
Cantidad disponible: 2 disponibles
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Fuzzy Sets and Information : A Generalized Approach
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838351487
ISBN 13: 9783838351483
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fuzzy set theory has capability to describe the uncertain situations, containing ambiguity and vagueness. Fuzziness is found in our decision, in our thinking, in the way we process information, and particularly in our language.The objective of the book is to study fuzzy mathematics with applications and to characterize new measures of fuzzy information with their various generalizations. The fuzzy information measure deals with vague and ambiguous uncertainties. Large number of measures of entropy, directed divergence and symmetric divergence for probability distributions are known. Analogously, there is a set of variety of measures for fuzzy sets available. Cross-entropy measure is also known as the information discrepancy between two probability distributions. Derived from cross-entropy, fuzzy directed divergence measures the dissimilarity between two fuzzy sets. Various generalized measures of fuzzy information have been introduced. The concept of `useful' fuzzy information by attaching utility to the uncertainties of fuzziness and probabilities of randomness has been introduced. Nº de ref. del artículo: 9783838351483
Cantidad disponible: 1 disponibles
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Fuzzy Sets and Information
Publicado por
LAP LAMBERT Academic Publishing Mär 2010, 2010
ISBN 10: 3838351487
ISBN 13: 9783838351483
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Fuzzy set theory has capability to describe the uncertain situations, containing ambiguity and vagueness. Fuzziness is found in our decision, in our thinking, in the way we process information, and particularly in our language.The objective of the book is to study fuzzy mathematics with applications and to characterize new measures of fuzzy information with their various generalizations. The fuzzy information measure deals with vague and ambiguous uncertainties. Large number of measures of entropy, directed divergence and symmetric divergence for probability distributions are known. Analogously, there is a set of variety of measures for fuzzy sets available. Cross-entropy measure is also known as the information discrepancy between two probability distributions. Derived from cross-entropy, fuzzy directed divergence measures the dissimilarity between two fuzzy sets. Various generalized measures of fuzzy information have been introduced. The concept of ''useful'' fuzzy information by attaching utility to the uncertainties of fuzziness and probabilities of randomness has been introduced.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch. Nº de ref. del artículo: 9783838351483
Cantidad disponible: 2 disponibles
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Fuzzy Sets and Information: A Generalized Approach
Publicado por
LAP Lambert Academic Publishing, 2010
ISBN 10: 3838351487
ISBN 13: 9783838351483
Nuevo
paperback
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
paperback. Condición: New. New. book. Nº de ref. del artículo: ERICA82938383514876
Cantidad disponible: 1 disponibles