Information-gap decision theory [Book] : decisions under severe uncertainty / Yakov Ben-Haim.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 0120882515
- 658.403 21
- 658.403
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor | 658.403 BEN-I (Browse shelf(Opens below)) | Available | 45948 |
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.
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