Fuzzy Statistical Decision-Making: Theory and Applications (Studies in Fuzziness and Soft Computing, 343)

ISBN 10: 3319817930 ISBN 13: 9783319817934

Editorial: Springer, 2018

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This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.

Acerca del autor: Prof. Kahraman received his BSc (1988), MSc (1990), and PhD (1996) degrees in Industrial Engineering from the Istanbul Technical University. His main research areas include engineering economics, quality management and control, statistical decision making, and fuzzy sets applications. He has published about 150 papers in international journals and more than 5 books with Springer. He has served as guest editor of many special issues of international journals and is presently the Head of the Industrial Engineering department of the Istanbul Technical University. Dr. �zg�r Kabak received his BSc (2001), MSc (2003), and PhD (2008) degrees in Industrial Engineering from the Istanbul Technical University. He is currently Assistant Professor of Industrial Engineering in the same University. His main research areas are fuzzy decision making, mathematical programming and statistical decision making.

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T�tulo: Fuzzy Statistical Decision-Making: Theory ...
Editorial: Springer
A�o de publicaci�n: 2018
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Condici�n: New

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Fuzzy Statistical Decision-Making

Kahraman, Cengiz|Kabak, �zg�r

Publicado por Springer International Publishing, 2018

ISBN 10: 3319817930 ISBN 13: 9783319817934

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides readers with the necessary tools for making inference with fuzzy data Extends all the main aspects of classical statistical decision-making to its fuzzy counterpart Includes relevant numerical examples and case studiesPr. N� de ref. del art�culo: 448756559

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Fuzzy Statistical Decision-Making | Theory and Applications

Cengiz Kahraman (u. a.)

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Fuzzy Statistical Decision-Making: Theory and Applications (Studies in Fuzziness and Soft Computing, 343)

Publicado por Springer, 2018

ISBN 10: 3319817930 ISBN 13: 9783319817934

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Fuzzy Statistical Decision-Making : Theory and Applications

�zg�r Kabak

Publicado por Springer International Publishing, Springer International Publishing, 2018

ISBN 10: 3319817930 ISBN 13: 9783319817934

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments. N� de ref. del art�culo: 9783319817934

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Fuzzy Statistical Decision-Making

�zg�r Kabak

Publicado por Springer International Publishing Mai 2018, 2018

ISBN 10: 3319817930 ISBN 13: 9783319817934

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments. 368 pp. Englisch. N� de ref. del art�culo: 9783319817934

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Fuzzy Statistical Decision-Making

�zg�r Kabak

Publicado por Springer International Publishing, Springer International Publishing Mai 2018, 2018

ISBN 10: 3319817930 ISBN 13: 9783319817934

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Taschenbuch. Condici�n: Neu. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch. N� de ref. del art�culo: 9783319817934

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