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Toward Interactive and Intelligent Decision Support Systems

Volume 2 Proceedings of the Seventh International Conference on Multiple Criteria Decision Making Held at Kyoto, Japan August 18–22, 1986

  • Conference proceedings
  • © 1987

Overview

Editors:
  1. Yoshikazu Sawaragi

    1. Japan Institute of Systems Research, Nippon-Italy Kyoto Kaikan, Yoshida, Sakyo, Kyoto 606, Japan

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  2. Koichi Inoue

    1. Department of Aeronautical Engineering, Kyoto University, Yoshida-honmachi, Sakyo, Kyoto 606, Japan

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  3. Hirotaka Nakayama

    1. Department of Applied Mathematics, Konan University, Higashinada, Kobe 658, Japan

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Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 286)

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Table of contents (45 papers)

  1. Front Matter

    Pages N2-XII
    Download chapter PDF

  2. Intelligent Decision Support Systems

    1. An Interactive Knowledge Support System with Imperfect Information: Toward A Microcomputer Implementation of ARIADNE

      • Andrew P. Sage, Ambrose Goicoechea, Peter H. Aiken
      Pages 1-10

    2. Object Model for a Deep Knowledge System

      • Haruki Ueno
      Pages 11-19

    3. A Distributed Problem Solving Approach to Control Asynchronous and Concurrent Processes

      • S. Kobayashi, N. Ono
      Pages 20-29

    4. A Human-Friendly Interface System for Decision Support Based on Self-Organized Multi-Layered Knowledge Structures

      • Tetsuo Sawaragi, Sosuke Iwai, Osamu Katai
      Pages 30-39

    5. Intelligent Decision Support for Technology Assessment: The Chemical Process Industry

      • M. Grauer, K. Fedra
      Pages 40-55

    6. A Framework for Choosing the Most Appropriate Discrete Alternative Multiple Criteria Decision-Making Method in Decision Support Systems and Expert Systems

      • Vladimir M. Ozernoy
      Pages 56-64

    7. The Intelligent Decision Support System: Synthesis of a Decision Support System and an Expert System

      • Yoshiro Kuratani
      Pages 65-70

    8. A Decision-Support System for Systems Engineering and Management: The SEMS Experiment at NASA

      • Ambrose Goicoechea, Robert W. Nelson, Walter Truszkowski
      Pages 71-79

    9. To Solve Discret Multicriteria Decision Problems Based on Logic-Based Decision Support Systems

      • Han-Lin Li
      Pages 80-89

    10. MCDM: From ‘Stand-Alone’ Methods to Integrated and Intelligent DSS

      • M. Tawfik Jelassi
      Pages 90-99

    11. Development of a Diagnosis Analysis System for Ion Implanter

      • Y. Doi, T. Yokohara, M. Matsuo, K. Arima, N. Tachibana, M. Yamaji et al.
      Pages 100-108

    12. A Multiple Criteria Algorithm for Automatic Layout of Data Flow Diagrams

      • Kuo-Jean Farn, Tzu-Tsung Waung
      Pages 109-118

    13. On the Method to Arrange and Use Expertise

      • Ken-ichi Hagiwara
      Pages 119-128

    14. Intellectual Distributed Processing System Development

      • S. Tamura, Y. Okataku, T. Endo, T. Seki, M. Arai
      Pages 129-138

    15. Japanese-English Machine Translation System Implemented in The Personal Computer

      • T. Shiino, H. Yasuhara, M. Sakamoto, A. Tanaka
      Pages 139-148

  3. Utility and Risk Analysis

    1. Multiattribute Utility and Derived Utility

      • John W. Pratt
      Pages 149-154

    2. Applications of Utility Theory in Artificial Intelligence Research

      • Peter H. Farquhar
      Pages 155-161

    3. Portfolio Risk Aversion and Weighted Utility Theory

      • S. H. Chew, M. H. Mao
      Pages 162-169

    4. Expected Utility with a Threshold Function

      • Yutaka Nakamura
      Pages 170-179
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Keywords

About this book

In the past, technological as well as economic forces dominated the evolution of industrial structures: these factors have been treated extensively in numerous studies. However, another major factor which has begun to have a decisive influ­ ence on the performance of the chemical industry is technological risk and public and environmental health considerations, in particular those related to toxic and hazardous substances used in industrial production processes. The issues of con­ trolling process risk, waste streams, and potential environmental consequences of accidental or routine release of hazardous chemicals are rapidly gaining in impor­ tance vis CI vis narrow economic considerations, and are increasingly reflected in national and international legislation. In the context of several ongoing R&D projects aiming at the development of a new generation of tools for "intelligent" decision support, two related problem areas that have been identified are: (i) Structuring the industry or plant for the minimum cost of production as well as least risk - e.g., toxicity of chemicals involved. In this multi-criteria framework, we seek to resolve the conflict between industrial structure or plant design established by economic considerations and the one shaped by environmental concerns. This can be formulated as a design problem for nor­ mal production conditions. In section 3.1. and 3.2. an approach on how to deal with this problem at the industry and plant level is discussed.

Editors and Affiliations

  • Japan Institute of Systems Research, Nippon-Italy Kyoto Kaikan, Yoshida, Sakyo, Kyoto 606, Japan

    Yoshikazu Sawaragi

  • Department of Aeronautical Engineering, Kyoto University, Yoshida-honmachi, Sakyo, Kyoto 606, Japan

    Koichi Inoue

  • Department of Applied Mathematics, Konan University, Higashinada, Kobe 658, Japan

    Hirotaka Nakayama

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