Information-gap Decision Theory: Decisions Under Severe UncertaintyAcademic Press, 2001 - 330 páginas Information-Gap Decision Theory presents a distinctive new theory of decision-making under severe uncertainty. Applications in engineering design and analysis, project management, economics, strategic planning, social decision making, environmental management, medical decisions, search and evasion problems, risk assessment, and other areas are discussed. Info-gap theory deals with many of the problems and questions of classical decision analysis such as risk assessment, gambling, value of information, trade-off analysis, and preference reversal, but the distinctive character of info-gap uncertainty repeatedly gives rise to new insights and unique decision algorithms. Furthermore, this book deals with many of the difficult interface issues facing the responsible decision maker such as value judgments concerning risk and immunity to failure, as well as philosophical implications of decision under uncertainty. This book is a fresh approach to the age-old problem of deciding responsibly with deficient information. An info-gap is the disparity between what is known and what needs to be known in order to make a well-founded decision. The book begins with a discussion of info-gap models of uncertainty, which provides an innovative approach to the quantification of severe lack of information. This book can be used in advanced undergraduate and graduate courses on decision theory and risk analysis. It is also of interest to practicing decision analysts and to researchers in decision theory and in human decision-making. |
Contenido
Overview | 4 |
Antagonistic and Sympathetic Immunities | 5 |
Uncertainty | 9 |
Derechos de autor | |
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Info-Gap Decision Theory: Decisions Under Severe Uncertainty Yakov Ben-Haim Vista previa limitada - 2006 |
Info-gap Decision Theory: Decisions Under Severe Uncertainty Yakov Ben-Haim Sin vista previa disponible - 2006 |
Information Gap Decision Theory: Decisions Under Severe Uncertainty Yakov Ben-Haim Sin vista previa disponible - 2006 |
Términos y frases comunes
ambient uncertainty analysis calibration chapter choice choose coherence functions conception consider convex credence critical reward decision algorithm decision analyst decision maker decision problem decision vector defined demand value deviation discussion ellipsoid empirical robustness entails envelope example expressed family of nested formulate Fourier frequentist function u(t greater holistic hypothesis immunity functions immunity to uncertainty increases increment info-gap decision theory info-gap inference info-gap model info-gap uncertainty Leibniz level of uncertainty lottery matrix maximizes Minkowski norm models of uncertainty nominal duration opportunity function option path positive definite matrix preferences probabilistic problem proposition relation reward function risk aversion robust severe test robust-optimal action robustness and opportunity robustness curve robustness function robustness premium strategy structure Susan Haack tainty task tion trade-off U₁(a uncer uncertainty model uncertainty parameter uncertainty weight variable warrant windfall reward Yakov Ben-Haim