New Book from Academic Press

                   INFORMATION-GAP DECISION THEORY:
                  DECISIONS UNDER SEVERE UNCERTAINTY

                            Yakov Ben-Haim
                  Faculty of Mechanical Engineering
             Technion --- Israel Institute of Technology
                          Haifa 32000 Israel
                      [EMAIL PROTECTED]
                   http://www.technion.ac.il/~yakov

ADVANCE PRAISE:

    "Professor Yakov  Ben-Haim has  written a  landmark book  ...  His
information-gap modeling approach to decision making under uncertainty
constitutes  a  new  and  revolutionary  approach for addressing tough
decision problems when little information is available."
    Prof.  Keith Hipel, University of Waterloo, Canada.

DESCRIPTION:

    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.

    Decision   analysts   provide   quantitative   support   for   the
decision-making process  in all  areas where  systematic decisions are
made.    Decision  analysts  include  engineers,  analysts in planning
offices   and   public   agencies,   project  management  consultants,
manufacturing  process  planners,  financial  and  economic  analysts,
informatics experts supporting medical or technological diagnosis, and
so on and on.

    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.    The  need  for  info-gap  modelling  and management of
uncertainty  arises  in  dealing  with  severe lack of information and
highly unstructured uncertainty.  What is an information gap?  How  is
it  quantified?    How  does  one  use  info-gap ideas to analyze such
central (and traditionally probabilistic) concepts as risk,  gambling,
reliability  and  so  on?    This  book addresses these and many other
questions.

BRIEF TABLE OF CONTENTS:

Chapter 1 Overview

Chapter 2 Uncertainty

Chapter 3 Robustness and Opportunity

Chapter 4 Value Judgments

Chapter 5 Antagonistic and Sympathetic Immunities

Chapter 6 Gambling and Risk-Sensitivity

Chapter 7 Value of Information

Chapter 8 Learning

Chapter 9 Coherent Uncertainties and Consensus

Chapter 10 Retrospective Essay: Risk Assessment in Project Management

Chapter 11 Hybrid Uncertainties

Chapter 12 Implications of Info-Gap Uncertainty

References

Author Index

Subject Index

PUBLICATION INFORMATION: August 2001. ISBN 0-12-088251-5. $99.95

ON-LINE ORDERING:

>From the Academic Press catalog:
http://www.apcatalog.com/cgi-bin/AP?ISBN=0120882515&LOCATION=US&FORM=FORM2

>From Amazon.com:
http://www.amazon.com/exec/obidos/ASIN/0120882515/qid%3D1006510409/
ref%3Dsr%5F11%5F0%5F1/102-2494037-7248961
(enter this address as a single line)

FURTHER INFORMATION can be found at:
                   http://www.technion.ac.il/~yakov

Dr. Yakov Ben-Haim
Professor

Faculty of Mechanical Engineering
Technion - Israel Institute of Technology           Haifa 32000   Israel
Tel: +972-4-829-3262                                Fax: +972-4-832-4533
[EMAIL PROTECTED]               http://www.technion.ac.il/~yakov

                  Series Editor, Academic Press
                  Series on Decision and Risk
                  http://www.technion.ac.il/~yakov/sdrfly.htm

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