Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis: 345 (Studies in Fuzziness and Soft Computing) - Tapa blanda

Zhang, Xiaolu; Xu, Zeshui

9783319824765: Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis: 345 (Studies in Fuzziness and Soft Computing)

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ISBN 10: 3319824767 ISBN 13: 9783319824765

Editorial: Springer, 2018

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The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.

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The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors latest research, as well as on others research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.

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EditorialSpringer
A�o de publicaci�n2018
ISBN 10 3319824767
ISBN 13 9783319824765
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de p�ginas208
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9783319420004: Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis: 345 (Studies in Fuzziness and Soft Computing)

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ISBN 10: 3319420003 ISBN 13: 9783319420004
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Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

Xiaolu Zhang|Zeshui Xu

Publicado por Springer International Publishing, 2018

ISBN 10: 3319824767 ISBN 13: 9783319824765

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a systematic introduction to hesitant fuzzy methods for decision makingDescribes real-life applications of new methods developed by the authorsReports on novel hesitant fuzzy elements theories developed by the authors&nbsp. N� de ref. del art�culo: 448757067

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Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

Zeshui Xu

Publicado por Springer International Publishing Jun 2018, 2018

ISBN 10: 3319824767 ISBN 13: 9783319824765

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors' latest research, as well as on others' research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making. 208 pp. Englisch. N� de ref. del art�culo: 9783319824765

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Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

Zeshui Xu

Publicado por Springer International Publishing, Springer International Publishing, 2018

ISBN 10: 3319824767 ISBN 13: 9783319824765

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors' latest research, as well as on others' research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making. N� de ref. del art�culo: 9783319824765

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Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis (Studies in Fuzziness and Soft Computing, 345)

Zhang, Xiaolu; Xu, Zeshui

Publicado por Springer, 2018

ISBN 10: 3319824767 ISBN 13: 9783319824765

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Librería: Ria Christie Collections, Uxbridge, Reino Unido

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Condici�n: New. In. N� de ref. del art�culo: ria9783319824765_new

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Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

Zeshui Xu

Publicado por Springer International Publishing, Springer International Publishing Jun 2018, 2018

ISBN 10: 3319824767 ISBN 13: 9783319824765

Nuevo Taschenbuch

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Neuware -The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors� latest research, as well as on others� research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch. N� de ref. del art�culo: 9783319824765

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