Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications: 367 (Studies in Fuzziness and Soft Computing, 367) - Softcover
Book 134 of 183: Studies in Fuzziness and Soft Computing
Synopsis
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.
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From the Back Cover
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.
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Uncertainty Data in Interval-Valued Fuzzy Set Theory
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Springer International Publishing Dez 2018, 2018
ISBN 10: 3030067432
ISBN 13: 9783030067434
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783030067434
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Uncertainty Data in Interval-Valued Fuzzy Set Theory
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ISBN 10: 3030067432
ISBN 13: 9783030067434
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Condition: 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. Seller Inventory # 448670093
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Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications (Studies in Fuzziness and Soft Computing)
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Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications (Studies in Fuzziness and Soft Computing)
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Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications (Studies in Fuzziness and Soft Computing)
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Uncertainty Data in Interval-Valued Fuzzy Set Theory | Properties, Algorithms and Applications
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ISBN 10: 3030067432
ISBN 13: 9783030067434
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Taschenbuch. Condition: Neu. Uncertainty Data in Interval-Valued Fuzzy Set Theory | Properties, Algorithms and Applications | Barbara P¿kala | Taschenbuch | xiv | Englisch | 2018 | Springer International Publishing | EAN 9783030067434 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 117272779
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Uncertainty Data in Interval-Valued Fuzzy Set Theory
ISBN 10: 3030067432
ISBN 13: 9783030067434
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch. Seller Inventory # 9783030067434
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Uncertainty Data in Interval-Valued Fuzzy Set Theory : Properties, Algorithms and Applications
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ISBN 10: 3030067432
ISBN 13: 9783030067434
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783030067434