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Mathematical Models for Decision Support

  • Gautam Mitra
  • Harvey J. Greenberg
  • Freerk A. Lootsma
  • Marcel J. Rijkaert
  • Hans J. Zimmermann

Part of the NATO ASI Series book series (volume 48)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Abstracts

    1. Front Matter
      Pages 1-1
    2. Gautam Mitra, Harvey J. Greenberg, Freerk A. Lootsma, Marcel J. Rijkaert, Hans J. Zimmermann
      Pages 3-13
  3. Review Paper

  4. Models with Multiple Criteria and Single or Multiple Decision Makers

  5. Use of Optimisation Models as Decision Support Tools

  6. Role of Information Systems in Decision Making: Database and Model Management Issues

    1. Front Matter
      Pages 321-321
    2. Melanie L. Lenard
      Pages 375-391
    3. James C. Moore, William B. Richmond, Andrew B. Whinston
      Pages 393-412
  7. Methods of Artificial Intelligence in Decision Making:Intelligent Knowledge Based System

    1. Front Matter
      Pages 413-413
    2. A. M. Ireland, M. A. H. Dempster
      Pages 415-440
    3. Frederic H. Murphy
      Pages 451-470
    4. M. J. Rijckaert, V. Debroey, W. Bogaerts
      Pages 487-517
    5. Clyde W. Holsapple, Andrew B. Whinston
      Pages 539-556
  8. Representation of Uncertainty in Mathematical Models and Knowledge Based Systems

  9. Mathematical Basis for Constructing Models and Model Validation

    1. Front Matter
      Pages 639-639
    2. Harvey J. Greenberg
      Pages 641-657
    3. Harvey J. Greenberg, Roger M. Cooke, Melanie L. Lenard, Andrew B. Whinston
      Pages 659-663
    4. Gezinus J. Hidding
      Pages 665-694
    5. Melanie L. Lenard
      Pages 695-713
    6. James C. Moore, William B. Richmond, Andrew B. Whinston
      Pages 715-725

About these proceedings

Introduction

It is quite an onerous task to edit the proceedings of a two week long institute with learned contributors from many parts of the world. All the same, the editorial team has found the process of refereeing and reviewing the contributions worthwhile and completing the volume has proven to be a satisfying task. In setting up the institute we had considered models and methods taken from a number of different disciplines. As a result the whole institute - preparing for it, attending it and editing the proceedings - proved to be an intense learning experience for us. Here I speak on behalf of the committee and the editorial team. By the time the institute took place, the papers were delivered and the delegates exchanged their views, the structure of the topics covered and their relative positioning appeared in a different light. In editing the volume I felt compelled to introduce a new structure in grouping the papers. The contents of this volume are organised in eight main sections set out below: 1 . Abstracts. 2. Review Paper. 3. Models with Multiple Criteria and Single or Multiple Decision Makers. 4. Use of Optimisation Models as Decision Support Tools. 5. Role of Information Systems in Decision Making: Database and Model Management Issues. 6. Methods of Artificial Intelligence in Decision Making: Intelligent Knowledge Based Systems. 7. Representation of Uncertainty in Mathematical Models and Knowledge Based Systems. 8. Mathematical Basis for Constructing Models and Model Validation.

Keywords

artificial intelligence control decision problem decision support expert system intelligence knowledge base knowledge-based systems modeling natural language operations research optimization uncertainty

Editors and affiliations

  • Gautam Mitra
    • 1
  • Harvey J. Greenberg
  • Freerk A. Lootsma
  • Marcel J. Rijkaert
  • Hans J. Zimmermann
  1. 1.Department of Mathematics and Statistics BrunelThe University of West LondonUxbridge, MiddlesexUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-83555-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 1988
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-83557-5
  • Online ISBN 978-3-642-83555-1
  • Buy this book on publisher's site