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Artificial Intelligence in Operational Research

  • Textbook
  • © 1992

Overview

Editors:
  1. Georgios I. Doukidis

    1. Athens University of Economics and Business, Greece

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    You can also search for this editor in PubMed   Google Scholar

  2. Ray J. Paul

    1. London School of Economics and Political Science, UK

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (34 chapters)

  1. Front Matter

    Pages i-vii
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  2. Practical Experiences

    1. Front Matter

      Pages 1-1
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    2. Operational Research Participation in Artificial Intelligence: Practical Experiences

      • Georgios I. Doukidis, Ray J. Paul
      Pages 3-7

    3. A Survey of the Application of Artificial Intelligence Techniques within the OR Society

      • Georgios I. Doukidis, Ray J. Paul
      Pages 9-21

    4. From OR to Knowledge-based Systems: An Industrial Experience

      • Helena Walters, Roger Schtaklef
      Pages 23-29

    5. A Five Hour Expert System Tutorial for Management Students

      • P. N. Finlay, D. G. Johnson, M. King, C. J. Martin, G. J. Phythian
      Pages 31-44

    6. Experiences in Developing an Expert System for MBA Admissions

      • Paul N. Finlay, Malcolm King
      Pages 45-55

    7. Exporting Know-how

      • Jim Grassick
      Pages 57-59

  3. Application Areas

    1. Front Matter

      Pages 61-61
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    2. Combining Operational Research and Artificial Intelligence

      • Georgios I. Doukidis, Ray J. Paul
      Pages 63-69

    3. An Artificial Intelligence Approach to Improving Computer Communications Network Topologies

      • Samuel Pierre, Hai-Hoc Hoang
      Pages 71-84

    4. Multicriteria Analysis Represented by Artificial Intelligence Techniques

      • Gabriella Balestra, Alexis TsoukiÀs
      Pages 85-96

    5. Using an Expert System to Monitor an Automatic Stock Control System

      • J. C. Thorpe, A. Marr, R. S. Slack
      Pages 97-104

    6. Simple Expert Systems for Computer Assisted Instruction

      • Malcolm King, Laurie McAulay
      Pages 105-113

    7. Fuzzy Ordinal Models for AI—OR

      • I. B. Turksen
      Pages 115-126

    8. Administering Rule Development in Rule-based Expert Systems

      • P. N. Finlay, Malcolm King, A. Burnett
      Pages 127-132

  4. Production Planning and Scheduling

    1. Front Matter

      Pages 133-133
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    2. Operational Research Approaches to Artificial Intelligence in Production Planning and Scheduling

      • Ray J. Paul, Georgios I. Doukidis
      Pages 135-138

    3. The Scheduler’s Predictive Expertise: An Interdisciplinary Perspective

      • K. N. McKay, J. A. Buzacott, N. Charness, F. R. Safayeni
      Pages 139-150

    4. A Knowledge-based Approach to Production Planning

      • Peter Duchessi, Robert M. O’Keefe
      Pages 151-164
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Keywords

Editors and Affiliations

  • Athens University of Economics and Business, Greece

    Georgios I. Doukidis

  • London School of Economics and Political Science, UK

    Ray J. Paul

Bibliographic Information

  • Book Title: Artificial Intelligence in Operational Research

  • Editors: Georgios I. Doukidis, Ray J. Paul

  • DOI: https://doi.org/10.1007/978-1-349-12362-9

  • Publisher: Red Globe Press London

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Macmillan Publishers Limited 1992

  • Edition Number: 1

  • Number of Pages: VIII, 368

  • Additional Information: Previously published under the imprint Palgrave

  • Topics: Artificial Intelligence, Operations Research/Decision Theory

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