Mathematical Models for Decision Support

1. Front Matter

   Pages I-IX

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2. Abstracts

   1. Front Matter

      Pages 1-1

      PDF

   2. Abstracts

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

      Pages 3-13

3. Review Paper

   1. Front Matter

      Pages 15-15

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   2. Models for Decision Making: an Overview of Problems, Tools and Major Issues

      • Gautam Mitra

      Pages 17-53

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

   1. Front Matter

      Pages 55-55

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   2. Numerical Scaling of Human Judgement in Pairwise-Comparison Methods for Fuzzy Multi-Criteria Decision Analysis

      • F. A. Lootsma

      Pages 57-88

   3. Some Mathematical Topics in the Analytic Hierarchy Process

      • Thomas L. Saaty

      Pages 89-107

   4. What is the Analytic Hierarchy Process?

      • Thomas L. Saaty

      Pages 109-121

   5. An Interactive Dss for Multiobjective Investment Planning

      • J. Teghem Jr., P. L. Kunsch

      Pages 123-133

   6. Multiple Criteria Mathematical Programming: an Updated Overview and Several Approaches

      • Stanley Zionts

      Pages 135-167

5. Use of Optimisation Models as Decision Support Tools

   1. Front Matter

      Pages 169-169

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   2. Language Requirements for a Priori Error Checking and Model Reduction in Large-Scale Programming

      • Johannes J. Bisschop

      Pages 171-181

   3. A Note on the Reformulation of LP Models

      • Joaquim Carmona

      Pages 183-186

   4. Interfaces Between Modeling Systems and Solution Algorithms

      • Arne Stolbjerg Drud

      Pages 187-196

   5. Mathematical Programming Solutions for Fishery Management

      • João Lauro D. Facó

      Pages 197-205

   6. A General Network Generator

      • M. Forster

      Pages 207-215

   7. A Case Study in the use of Mathematical Models for Decision Support in Production Planning

      • Manfred Grauer

      Pages 217-227

   8. ANALYZE Rulebase

      • Harvey J. Greenberg

      Pages 229-238

   9. Interfacing Optimizers with Planning Languages and Process Simulators

      • L. S. Lasdon, A. D. Waren, S. Sarkar

      Pages 239-262

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.

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

• Department of Mathematics and Statistics Brunel, The University of West London, Uxbridge, Middlesex, UK

  Gautam Mitra

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