5 edition of **Information-gap decision theory** found in the catalog.

- 84 Want to read
- 15 Currently reading

Published
**2001**
by Academic Press in San Diego, Calif
.

Written in English

- Decision making.,
- Uncertainty.,
- Risk.

**Edition Notes**

Includes bibliographical references and index.

Statement | Yakov Ben-Haim. |

Series | Series on decision and risk |

Classifications | |
---|---|

LC Classifications | QA279.4 .B453 2001 |

The Physical Object | |

Pagination | x, 330 p. : |

Number of Pages | 330 |

ID Numbers | |

Open Library | OL3582626M |

ISBN 10 | 0120882515 |

LC Control Number | 2002279613 |

OCLC/WorldCa | 47726343 |

Info-gap decision theory is radically different from all current theories of decision under uncertainty. The difference originates in the modelling of uncertainty as an information gap rather than as a probability. Ben-Haim (, ) In this book we concentrate on the fairly new concept of information-gap uncertainty, whose differences from. Information-Gap C lassic decision-making theory incorporates three echelons of information required to make a decision: certainty, risk, and uncertainty. 2 Information-gap theory provides models to make decisions under severe uncertainty.3 However, it fails to address the ethical principles that should accompany decision-making under such.

book reviews Review of Information-gap decision theory: Decisions under severe uncertainty by Yakov Ben-Haim. @article{osti_, title = {Bayesian-information-gap decision theory with an application to CO2 sequestration}, author = {O'Malley, D. and Vesselinov, V. V.}, abstractNote = {Decisions related to subsurface engineering problems such as groundwater management, fossil fuel production, and geologic carbon sequestration are frequently challenging because of an overabundance of uncertainties.

O’Malley, D., Vesselinov, V.V., Bayesian-Information-Gap Decision Theory (BIG-DT) with an application to CO2 sequestration, Water Resources Research, doi: /WR, Vesselinov, V.V., Harp, D., Decision support based on uncertainty quantification of model predictions of contaminant transport, CMWR XVIII. Nikoobakht, Ahmad & Aghaei, Jamshid & Mardaneh, Mohammad, "Managing the risk of uncertain wind power generation in flexible power systems using information gap decision theory," Energy, Elsevier, vol. (C), pages

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Info-Gap Decision Theory 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.

Information-Gap Decision Theory presents Information-gap decision theory book 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 by: 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 4/5(2). Among the methods available for decision making under such severe uncertainty, information-gap decision theory (IGDT) is a promising approach because IGDT 1) does not require additional Author: Yakov Ben-Haim.

In the field of statistical decision theory Information-gap decision theory book Raiffa and Schlaifer have sought to develop new analytical tech niques by which the modern theory of utility and subjective probability can actu ally be applied to the economic analysis of typical sampling problems.

This book, the first in a group entitled Studies in Managerial. 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.

Info-Gap Decision Theory is written for decision analysts. The term "decision analyst" covers an. Relying on the severity of the failure, information-gap decision theory (IGDT) is a robust optimization approach which is entirely autonomous from probabilistic information.

In this model, a forecasted amount is presumed for each uncertain variable, and the sensitivity of objective functions is analyzed according to the deviation of each of Author: Navid Rezaei, Abdollah Ahmadi, Ali Esmaeel Nezhad, Amirhossein Khazali.

ISBN: OCLC Number: Description: x, pages: illustrations ; 24 cm. Contents: 2 Uncertainty 9 Historical Perspective 9 Info-gap Uncertainty, Probability and Fuzziness 12 Some Info-gap Models 16 Uncertainty and Convexity 25 Axioms of Info-gap Uncertainty 26 Problems 27 Robustness and Opportunity 33 Robustness.

Information-gap decision theory is applied to construct optimal loan-book portfolios that are robust against uncertainty.

Findings: By choosing optimal interest-rate ratios among the credit risk categories one can simultaneously satisfy regulatory requirements on expected losses and an institution’s aspirations on expected profits.

Info-gap decision theory is a conceptual framework that can support these deliberations and that has substantive implications for the formulation, evaluation and selection of strategic goals and Author: Yakov Ben-Haim. Information gap decision theory (IGDT) is a practical strategy with no need to probability distribution function of uncertain parameter (which is used in probabilistic approaches such as chance-constrained and stochastic programming methods) and membership functions employed in fuzzy by: 1.

Information Gap Decision Theory: Decisions under Severe Uncertainty Ben-Haim Y. Ben-Haim (mechanical engineering, Technion-Israel Institute of Technology) discusses the use of quantitative models and computational methods used for the formulation of decision algorithms and performance assessment in situations where the decision-making process.

iv DECISION THEORY: PRINCIPLES AND APPROACHES to our advisors: Don Berry, Morrie De Groot and Jay Kadane, and to their advisors: Jay Kadane, Jimmy Savage and Herman Chernoﬀ.

master 24/12/ —PAGE PROOFS for John Wiley & Sons Ltd ( v, 16th April ). Information Gap Decision Theory: Decisions under Severe Uncertainty Information Gap Decision Theory: Decisions under Severe Uncertainty Wright, Lesley F. B en ‐H aim, San Diego, Academic Press x + pp., £ ISBN 0‐12‐‐5 This (hardback) book presents a new theory of decision‐making under severe uncertainty.

Yakov Ben-Haim,Info-Gap Decision Theory: Decisions Under Severe Uncertainty, 2nd edition, Academic Press, London, ISBN Description and reviews. Tanuj Rawat and K. Niazi,Risk averse energy management for grid connected microgrid using information gap decision theory, Intelligent Computing Techniques for Smart Energy Systems, pp, Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume ).

Information gap task, a technique used in language teaching Info-gap decision theory, a type of decision theory in economics Disambiguation page providing links to. Implementation of information gap decision theory on AC microgrids. In this section, the IGDT method is implemented on AC MGs to get optimal operation of the AC MG in the presence of power price uncertainty.

Note that the IGDT method was detailed in Chapter 5, Information decision gap theory–based risk-constrained energy management of DC Author: Hamed Pashaei-Didani, Arash Mohammadi, Hamed Ahmadi-Nezamabad, Sayyad Nojavan. 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, This book discusses info-gap explanations of robust-satisficing behavior.

An information gap activity is an activity where learners are missing the information they need to complete a task and need to talk to each other to find it. Example Learner A has a biography of a famous person with all the place names missing, whilst Learner B has the same text with all the dates missing/5(4).

Info-Gap Decision Theory, Second Edition: Decisions Under Severe Uncertainty | Yakov Ben-Haim | download | B–OK. Download books for free. Find books. Information‐gap decision theory is applied to construct optimal loan‐book portfolios that are robust against uncertainty., – By choosing optimal interest‐rate ratios among the credit risk categories one can simultaneously satisfy regulatory requirements on expected losses and an institution's aspirations on expected profits., – In the Cited by: Read Information Gap Decision Theory: Decisions under Severe Uncertainty (Academic Press Series.