Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications - Couverture souple

Livre 134 sur 183: Studies in Fuzziness and Soft Computing

Pękala, Barbara

9783030067434: Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications

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ISBN 10 : 3030067432 ISBN 13 : 9783030067434

Editeur : Springer, 2018

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This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3030067432
ISBN 13: 9783030067434
Reliure: Broch�
Nombre de pages: 196
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

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P?kala, Barbara

Edit� par Springer, 2018

ISBN 10 : 3030067432 ISBN 13 : 9783030067434

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Uncertainty Data in Interval-Valued Fuzzy Set Theory

Barbara P�kala

Edit� par Springer International Publishing Dez 2018, 2018

ISBN 10 : 3030067432 ISBN 13 : 9783030067434

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov's intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data. 196 pp. Englisch. N� de r�f. du vendeur 9783030067434

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Uncertainty Data in Interval-Valued Fuzzy Set Theory

Barbara Pekala

Edit� par Springer International Publishing, 2018

ISBN 10 : 3030067432 ISBN 13 : 9783030067434

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on interval-valued fuzzy aggregations, and its importance for solving multi criteria decision making problems Describes fuzzy set based methods for dealing with incomplete knowledge Highlights the case of imprecise dat. N� de r�f. du vendeur 448670093

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Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications (Studies in Fuzziness and Soft Computing)

P?kala, Barbara

Edit� par Springer, 2018

ISBN 10 : 3030067432 ISBN 13 : 9783030067434

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Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications (Studies in Fuzziness and Soft Computing)

P?kala, Barbara

Edit� par Springer, 2018

ISBN 10 : 3030067432 ISBN 13 : 9783030067434

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Vendeur : Majestic Books, Hounslow, Royaume-Uni

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Etat : New. Print on Demand pp. 181. N� de r�f. du vendeur 370758696

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Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications (Studies in Fuzziness and Soft Computing)

P?kala, Barbara

Edit� par Springer, 2018

ISBN 10 : 3030067432 ISBN 13 : 9783030067434

Neuf Couverture souple

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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne

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Uncertainty Data in Interval-Valued Fuzzy Set Theory

Barbara P�kala

Edit� par Springer, Springer Dez 2018, 2018

ISBN 10 : 3030067432 ISBN 13 : 9783030067434

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov's intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch. N� de r�f. du vendeur 9783030067434

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Uncertainty Data in Interval-Valued Fuzzy Set Theory : Properties, Algorithms and Applications

Barbara P�kala

Edit� par Springer International Publishing, Springer International Publishing, 2018

ISBN 10 : 3030067432 ISBN 13 : 9783030067434

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov's intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data. N� de r�f. du vendeur 9783030067434

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