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Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies: 387 (Studies in Fuzziness and Soft Computing, 387) - Hardcover
Synopsis
This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this.
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From the Back Cover
This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this.
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Integrating Soft Computing into Strategic Prospective Methods. Towards an Adaptive Learning Environment Supported by Futures Studies.
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XXII, 230 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Fuzziness and Soft Computing, 387. Sprache: Englisch. Seller Inventory # 9988GB
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Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies (Studies in Fuzziness and Soft Computing, 387)
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Integrating Soft Computing into Strategic Prospective Methods : Towards an Adaptive Learning Environment Supported by Futures Studies
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Integrating Soft Computing into Strategic Prospective Methods (Hardcover)
Published by
Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030254313
ISBN 13: 9783030254315
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Hardcover. Condition: new. Hardcover. This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this. This book discusses how to build optimization tools able to generate better future studies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783030254315
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Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies (Studies in Fuzziness and Soft Computing, 387)
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Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies (Studies in Fuzziness and Soft Computing, 387)
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Integrating Soft Computing into Strategic Prospective Methods : Towards an Adaptive Learning Environment Supported by Futures Studies
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Integrating Soft Computing into Strategic Prospective Methods
Published by
Springer International Publishing Sep 2019, 2019
ISBN 10: 3030254313
ISBN 13: 9783030254315
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Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this. 252 pp. Englisch. Seller Inventory # 9783030254315
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Integrating Soft Computing into Strategic Prospective Methods : Towards an Adaptive Learning Environment Supported by Futures Studies
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Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies (Studies in Fuzziness and Soft Computing (387))
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