Info-Gap Decision Theory: Decisions Under Severe Uncertainty (Google eBook)

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Academic Press, Oct 11, 2006 - Technology & Engineering - 384 pages
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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.
  

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Contents

1 Overview
1
2 Uncertainty
9
3 Robustness and Opportuneness
37
4 Value Judgments
115
5 Antagonistic and Sympathetic Immunities
129
6 Gambling and Risk Sensitivity
149
7 Value of Information
185
8 Learning
207
10 Hybrid Uncertainties
249
11 RobustSatisficing Behavior
267
Risk Assessment in Project Management
297
13 Implications of InfoGap Uncertainty
317
References
347
Author Index
357
Subject Index
361
Copyright

9 Coherent Uncertainties and Consensus
231

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Page 22 - I hold space to be something merely relative, as time is ; that I hold it to be an order of co-existences, as time is an order of successions. For space denotes, in terms of possibility, an order of things which exist at the same time, considered as existing together; without inquiring into their particular manner of existing.
Page 15 - Uncertainty is defined as the difference between the amount of information required to perform the task and the amount of information already possessed by the organization (1973, p.
Page 37 - Let us not fear to shout it from the house-tops if need be; for we now know that the idea of chance is, at bottom, exactly the same thing as the idea of gift, the one simply being a disparaging, and the other a eulogistic, name for anything on which we have no effective claim. And whether the world be the better or the worse for having either chances or gifts in it will depend altogether on what these uncertain and unclaimable things turn out to be.

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About the author (2006)

Ben-Haim originated the theory of info-gap models of uncertainty and has pioneered decision making in engineering design and reliability analysis, fault diagnosis, project management, economic analysis, and nuclear assay. Dr. Ben-Haim is a full professor in the Faculty of Mechanical Engineering at the Technion-Israel Institute of Technology, and has been a visiting professor at universities in Europe, the United States, Canada, and Korea.

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