Info-gap decision theory: decisions under severe uncertainty
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Academic
2006
|
| Ausgabe: | 2nd ed |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Previous ed. published as: Information-gap decision theory. London, c2001 Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. This book is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models. * New theory developed systematically. * Many examples from diverse disciplines. * Realistic representation of severe uncertainty. * Multi-faceted approach to risk. * Quantitative model-based decision theory Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xiii, 368 p.) |
| ISBN: | 9780123735522 0123735521 0080465706 9780080465708 |
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| 245 | 1 | 0 | |a Info-gap decision theory |b decisions under severe uncertainty |c Yakov Ben-Haim |
| 250 | |a 2nd ed | ||
| 264 | 1 | |a Oxford |b Academic |c 2006 | |
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| 500 | |a Previous ed. published as: Information-gap decision theory. London, c2001 | ||
| 500 | |a Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. This book is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. | ||
| 500 | |a Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. | ||
| 500 | |a Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models. * New theory developed systematically. * Many examples from diverse disciplines. * Realistic representation of severe uncertainty. * Multi-faceted approach to risk. * Quantitative model-based decision theory | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 7 | |a BUSINESS & ECONOMICS / Decision-Making & Problem Solving |2 bisacsh | |
| 650 | 7 | |a Decision making / Mathematical models |2 fast | |
| 650 | 7 | |a Risk assessment / Mathematical models |2 fast | |
| 650 | 7 | |a Uncertainty |2 fast | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Decision making |x Mathematical models | |
| 650 | 4 | |a Uncertainty | |
| 650 | 4 | |a Risk assessment |x Mathematical models | |
| 700 | 1 | |a Ben-Haim, Yakov |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author | Ben-Haim, Yakov |
| author_facet | Ben-Haim, Yakov |
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| author_sort | Ben-Haim, Yakov |
| author_variant | y b h ybh |
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| bvnumber | BV042315748 |
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| ctrlnum | (OCoLC)162131323 (DE-599)BVBBV042315748 |
| dewey-full | 658.403 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.403 |
| dewey-search | 658.403 |
| dewey-sort | 3658.403 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 2nd ed |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:18:13Z |
| institution | BVB |
| isbn | 9780123735522 0123735521 0080465706 9780080465708 |
| language | English |
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| spelling | Ben-Haim, Yakov Verfasser aut Info-gap decision theory decisions under severe uncertainty Yakov Ben-Haim 2nd ed Oxford Academic 2006 1 Online-Ressource (xiii, 368 p.) txt rdacontent c rdamedia cr rdacarrier Previous ed. published as: Information-gap decision theory. London, c2001 Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. This book is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models. * New theory developed systematically. * Many examples from diverse disciplines. * Realistic representation of severe uncertainty. * Multi-faceted approach to risk. * Quantitative model-based decision theory Includes bibliographical references and index BUSINESS & ECONOMICS / Decision-Making & Problem Solving bisacsh Decision making / Mathematical models fast Risk assessment / Mathematical models fast Uncertainty fast Mathematisches Modell Wirtschaft Decision making Mathematical models Uncertainty Risk assessment Mathematical models Ben-Haim, Yakov Sonstige oth http://www.sciencedirect.com/science/book/9780123735522 Verlag Volltext |
| spellingShingle | Ben-Haim, Yakov Info-gap decision theory decisions under severe uncertainty BUSINESS & ECONOMICS / Decision-Making & Problem Solving bisacsh Decision making / Mathematical models fast Risk assessment / Mathematical models fast Uncertainty fast Mathematisches Modell Wirtschaft Decision making Mathematical models Uncertainty Risk assessment Mathematical models |
| title | Info-gap decision theory decisions under severe uncertainty |
| title_auth | Info-gap decision theory decisions under severe uncertainty |
| title_exact_search | Info-gap decision theory decisions under severe uncertainty |
| title_full | Info-gap decision theory decisions under severe uncertainty Yakov Ben-Haim |
| title_fullStr | Info-gap decision theory decisions under severe uncertainty Yakov Ben-Haim |
| title_full_unstemmed | Info-gap decision theory decisions under severe uncertainty Yakov Ben-Haim |
| title_short | Info-gap decision theory |
| title_sort | info gap decision theory decisions under severe uncertainty |
| title_sub | decisions under severe uncertainty |
| topic | BUSINESS & ECONOMICS / Decision-Making & Problem Solving bisacsh Decision making / Mathematical models fast Risk assessment / Mathematical models fast Uncertainty fast Mathematisches Modell Wirtschaft Decision making Mathematical models Uncertainty Risk assessment Mathematical models |
| topic_facet | BUSINESS & ECONOMICS / Decision-Making & Problem Solving Decision making / Mathematical models Risk assessment / Mathematical models Uncertainty Mathematisches Modell Wirtschaft Decision making Mathematical models Risk assessment Mathematical models |
| url | http://www.sciencedirect.com/science/book/9780123735522 |
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