Information-gap decision theory : decisions under severe uncertainty

Bibliographic Information

Information-gap decision theory : decisions under severe uncertainty

Yakov Ben-Haim

(Series on decision and risk)

Academic Press, c2001

Available at  / 4 libraries

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Note

Includes bibliographical references and indexes

Description and Table of Contents

Description

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.

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Details

  • NCID
    BA57166288
  • ISBN
    • 0120882515
    • 0120882515
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    San Diego, Calif. ; London
  • Pages/Volumes
    x, 330 p.
  • Size
    24 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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