國立虎尾科技大學 |

Decision Making under Deep Uncertainty = From Theory to Practice /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Decision Making under Deep Uncertainty/ edited by Vincent A. W. J. Marchau, Warren E. Walker, Pieter J. T. M. Bloemen, Steven W. Popper.
其他題名:	From Theory to Practice /
其他作者:	Marchau, Vincent A. W. J.
面頁冊數:	XIV, 405 p. 85 illus., 66 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Operations research. -
電子資源:	https://doi.org/10.1007/978-3-030-05252-2
ISBN:	9783030052522

Decision Making under Deep Uncertainty = From Theory to Practice /
Decision Making under Deep UncertaintyFrom Theory to Practice /[electronic resource] :edited by Vincent A. W. J. Marchau, Warren E. Walker, Pieter J. T. M. Bloemen, Steven W. Popper. - 1st ed. 2019. - XIV, 405 p. 85 illus., 66 illus. in color.online resource.

Chapter 1. Introduction -- Chapter 2. Robust Decision Making (RDM) -- Chapter 3. Dynamic Adaptive Planning (DAP) -- Chapter 4. Dynamic Adaptive Policy Pathways (DAPP) -- Chapter 5. Info-Gap (IG) Decision Theory -- Chapter 6. Engineering Options Analysis (EOA) -- Chapter 7. Robust Decision Making (RDM) Applications Water Planning and Climate Policy -- Chapter 8. Dynamic Adaptive Planning (DAP) – The Case of Intelligent Speed Adaptation -- Chapter 9. Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice -- Chapter 10. Info-Gap (IG) Robust Design of a Mechanical Latch -- Chapter 11. Engineering Options Analysis (EOA) – Applications -- Chapter 12. Decision Scaling (DS): Decision Support for Climate Change -- Chapter 13. A Conceptual Model of Planned Adaptation (PA) -- Chapter 14. DMDU into Practice: Adaptive Delta Management in The Netherlands -- Chapter 15. Supporting DMDU: A Taxonomy of Approaches and Tools -- Chapter 16. Reflections: DMDU and Public Policy for Uncertain Times -- Chapter 17. Conclusions and Outlook.

Open Access

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

ISBN: 9783030052522

Standard No.: 10.1007/978-3-030-05252-2doiSubjects--Topical Terms:

573517
Operations research.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Decision Making under Deep Uncertainty = From Theory to Practice /
LDR:04675nam a22004215i 4500 001 1011748
003 DE-He213
005 20200703150748.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030052522 $9 978-3-030-05252-2
024 7 $a 10.1007/978-3-030-05252-2 $2 doi
035 $a 978-3-030-05252-2
050 4 $a HD30.23
072 7 $a KJT $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 658.40301 $2 23
245 1 0 $a Decision Making under Deep Uncertainty $h [electronic resource] : $b From Theory to Practice / $c edited by Vincent A. W. J. Marchau, Warren E. Walker, Pieter J. T. M. Bloemen, Steven W. Popper.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XIV, 405 p. 85 illus., 66 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1. Introduction -- Chapter 2. Robust Decision Making (RDM) -- Chapter 3. Dynamic Adaptive Planning (DAP) -- Chapter 4. Dynamic Adaptive Policy Pathways (DAPP) -- Chapter 5. Info-Gap (IG) Decision Theory -- Chapter 6. Engineering Options Analysis (EOA) -- Chapter 7. Robust Decision Making (RDM) Applications Water Planning and Climate Policy -- Chapter 8. Dynamic Adaptive Planning (DAP) – The Case of Intelligent Speed Adaptation -- Chapter 9. Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice -- Chapter 10. Info-Gap (IG) Robust Design of a Mechanical Latch -- Chapter 11. Engineering Options Analysis (EOA) – Applications -- Chapter 12. Decision Scaling (DS): Decision Support for Climate Change -- Chapter 13. A Conceptual Model of Planned Adaptation (PA) -- Chapter 14. DMDU into Practice: Adaptive Delta Management in The Netherlands -- Chapter 15. Supporting DMDU: A Taxonomy of Approaches and Tools -- Chapter 16. Reflections: DMDU and Public Policy for Uncertain Times -- Chapter 17. Conclusions and Outlook.
506 0 $a Open Access
520 $a This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
650 0 $a Operations research. $3 573517
650 0 $a Decision making. $3 528319
650 0 $a Dynamics. $3 592238
650 0 $a Ergodic theory. $3 672355
650 0 $a Probabilities. $3 527847
650 1 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Dynamical Systems and Ergodic Theory. $3 671353
650 2 4 $a Probability Theory and Stochastic Processes. $3 593945
700 1 $a Marchau, Vincent A. W. J. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1305945
700 1 $a Walker, Warren E. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1072161
700 1 $a Bloemen, Pieter J. T. M. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1305946
700 1 $a Popper, Steven W. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1305947
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030052515
776 0 8 $i Printed edition: $z 9783030052539
856 4 0 $u https://doi.org/10.1007/978-3-030-05252-2
912 $a ZDB-2-BUM
912 $a ZDB-2-SXBM
912 $a ZDB-2-SOB
950 $a Business and Management (SpringerNature-41169)
950 $a Business and Management (R0) (SpringerNature-43719)