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Published by Economic Management Publishing House, 2024
ISBN 10: 7509697042 ISBN 13: 9787509697047
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback.Pub Date:2024-06 Pages:216 Publisher:Economic Management Press In recent years. considering the complexity of decision-making problems. the fuzziness of decision attributes and the uncertainty of decision-making environments. the theory and application of multi-attribute decision-making under uncertain backgrounds have become a hot topic of concern for scholars. among which the research on complex fuzzy multi-attribute decision-making theory is the most popular. Based on this. this .
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Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206159477 ISBN 13: 9786206159476
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Taschenbuch. Condition: Neu. Complex Hybrid Sets and their Applications in Decision Making | Theory and Applications | Chinnadurai V (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206159476 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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ISBN 10: 6206159477 ISBN 13: 9786206159476
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Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3642092837 ISBN 13: 9783642092831
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Taschenbuch. Condition: Neu. Complex Decision Making | Theory and Practice | Hassan Qudrat-Ullah (u. a.) | Taschenbuch | Understanding Complex Systems | xii | Englisch | 2010 | Springer | EAN 9783642092831 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer-Verlag GmbH, 2007
ISBN 10: 3540736646 ISBN 13: 9783540736646
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Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642092837 ISBN 13: 9783642092831
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Today's ever more complex world creates challenges for decision makers. This volume reviews the principles underlying complex decision making, the handling of uncertainties in dynamic environments, and the various modeling approaches. Beginning with a discussion of the underlying concepts, theories and empirical evidence, the book gives you a range of practical tools and techniques for decision making in complex environments and systems.
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Published by Springer, Berlin, Springer, 2007
ISBN 10: 3540736646 ISBN 13: 9783540736646
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Today's ever more complex world creates challenges for decision makers. This volume reviews the principles underlying complex decision making, the handling of uncertainties in dynamic environments, and the various modeling approaches. Beginning with a discussion of the underlying concepts, theories and empirical evidence, the book gives you a range of practical tools and techniques for decision making in complex environments and systems.
paperback. Condition: New. Paperback. Pub Date :2013-12-01 Pages: 230 Language: Chinese Publisher: Science Press. Water Resources Carrying Capacity Based on the theory and practice of complex adaptive decision theory based on complex adaptive theory. theory. methods and application of three- aspects of water resources carrying capacity to do a more comprehensive study of the system. create the basic theory. decision-making methods and decision-making model based on complex adaptive water resources carrying capacity. co.
ISBN 10: 7030473515 ISBN 13: 9787030473516
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paperback. Condition: New. Language:Chinese.Complex Fuzzy Multiple Attribute Decision Making Theory and Methods.
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paperback. Condition: New. Paperback. Pub Date: 2021-03-01 Pages: 238 Language: Chinese Publisher: Science Press. The complex equipment manufacturing industry is a knowledge-intensive. technology-intensive. capital-intensive high-tech. high-value-added. and high-risk strategic industry. The country's economic development and national security have a pivotal position.?Complex Equipment Master Manufacturer-Supplier Cooperative Decision-making Theory and Method takes the economic law of the coordination and cooperation of.
ISBN 10: 7030631919 ISBN 13: 9787030631916
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paperback. Condition: New. Paperback.Pub Date:2020-12-01 Pages:410 Language:Chinese Publisher:Science Press Theory and Application of Complex Large Group Decision-Making under Big Data Environment is a series in the context of the frequent occurrence of major emergencies in my country. *Summary of research results funded by the Natural Science Foundation of China.?Theory and Application of Complex Large Group Decision-Making under Big Data Environment systematically analyzes the particularity of major emergency decisio.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The ubiquitousness of data and the emergence of data-driven machine learning approaches provide new means of creating insights. However, coping with the great volume, velocity, and variety of data requires improved data analysis methods. This dissertation contributes a nascent design theory, named the Division-of-Labor framework, for developing complex machine learning systems that can not only address the challenges of big data but also leverage their characteristics to perform more sophisticated analyses. I evaluate the proposed design principles in three practical settings, in which I apply the principles to design machine learning systems that (i) support treatment decision making for cancer patients, (ii) provide consumers with recommendations on two-sided platforms, and (iii) address a trade-off between efficiency and comfort in the context of autonomous vehicles. The evaluations partially validate the proposed theory, but also show that some principles require further attention in order to be practicable. 202 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThe ubiquitousness of data and the emergence of data-driven machine learning approaches provide new means of creating insights. However, coping with the great volume, velocity, and variety of data requires improved data analysis m.
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Published by Cuvillier, Cuvillier Apr 2020, 2020
ISBN 10: 3736972008 ISBN 13: 9783736972001
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The ubiquitousness of data and the emergence of data-driven machine learning approaches provide new means of creating insights. However, coping with the great volume, velocity, and variety of data requires improved data analysis methods. This dissertation contributes a nascent design theory, named the Division-of-Labor framework, for developing complex machine learning systems that can not only address the challenges of big data but also leverage their characteristics to perform more sophisticated analyses. I evaluate the proposed design principles in three practical settings, in which I apply the principles to design machine learning systems that (i) support treatment decision making for cancer patients, (ii) provide consumers with recommendations on two-sided platforms, and (iii) address a trade-off between efficiency and comfort in the context of autonomous vehicles. The evaluations partially validate the proposed theory, but also show that some principles require further attention in order to be practicable.Cuvillier Verlag, Nonnenstieg 8, 37075 Göttingen 202 pp. Englisch.
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Published by Cuvillier, Cuvillier, 2020
ISBN 10: 3736972008 ISBN 13: 9783736972001
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The ubiquitousness of data and the emergence of data-driven machine learning approaches provide new means of creating insights. However, coping with the great volume, velocity, and variety of data requires improved data analysis methods. This dissertation contributes a nascent design theory, named the Division-of-Labor framework, for developing complex machine learning systems that can not only address the challenges of big data but also leverage their characteristics to perform more sophisticated analyses. I evaluate the proposed design principles in three practical settings, in which I apply the principles to design machine learning systems that (i) support treatment decision making for cancer patients, (ii) provide consumers with recommendations on two-sided platforms, and (iii) address a trade-off between efficiency and comfort in the context of autonomous vehicles. The evaluations partially validate the proposed theory, but also show that some principles require further attention in order to be practicable.