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Decision Support Systems
A Knowledge-Based Approach

 

 

Outline

  • Part One - Decision Making and Knowledge
    • Chapter One - Managing to Excel
      • DSS Insights Case - Monsanto: A DSS for Ship-Scheduling Decisions
      • 1.1 Introduction; 1.2 Managerial Work; 1.3 An Organization; 1.4 Aspects of an Organization 1.5 Managerial Functions; 1.6 Managerial Roles; 1.7 A Working Perspective of What Managers Do; 1.8 Summary
    • Chapter Two - Decisions, Decisions, Decisions
      • DSS Insights Case - Idaho Transportation Department: A DSS for Taxation Decitions
      • 2.1 Introduction; 2.2 Making a Decision; 2.3 Decision Contexts; 2.4 Decision Types; 2.5 Summary
    • Chapter Three - Decision Makers and Processes
      • DSS Insights Case - Quebec: A DSS for Vehicle Fleet-Planning Decisions
      • 3.1 Introduction; 3.2 The Decision Maker; 3.3 The Decision-Making Process; 3.4 Decision Support; 3.5 Summary
    • Chapter Four - Knowledge Matters
      • DSS Insights Case - GEM: A DSS for Workload-Planning Decisions
      • 4.1 Introduction; 4.2 The Knowledge-Based View of Decision Making; 4.3 Defining Knowledge; 4.4 Knowledge Management; 4.5 Summary
    • Part One - Case Study
      • A News Decision; A Product Design Decision; A Budget Decision; Case Study Questions
  • Part Two - Foundations of Decision Support Systems
    • Chapter Five - Decision Support System Overview
      • DSS Insights Case - Dairyman's Cooperative: A DSS for Production Decisions
      • 5.1 Introduction; 5.2 Purposes of DSSs; 5.3 DSSs in a Historical Perspective 5.4 DSS Benefits and Limitations; 5.5 DSS Possibilities; 5.6 Summary
    • Chapter Six - Desicion Support System Architecture
      • DSS Insights Case - American Airlines: A DSS for Aircraft-Maintenance Decisions
      • 6.1 Introduction; 6.2 The Generic Framework for DSSs; 6.3 Specialized Frameworks; 6.4 Summary
    • Chapter Seven - Building Decision Support Systems
      • DSS Insights Case - Citgo: A DSS for Short-Term Planning Decisions
      • 7.1 Introduction; 7.2 DSS Developers; 7.3 The DSS Development Process; 7.4 Summary
    • Chapter Eight - DSS Development Tools
      • DSS Insights Case - Olympics: A DSS for Event-Scheduling Decisions
      • 8.1 Introduction; 8.2 Technique-Oriented Tool Categories; 8.3 The Roles of Tools in Development 8.4 Interface Styles of Tools; 8.5 Technique Integration in Tools; 8.6 Summary
    • Part Two - Case Study
      • Variance Analysis Investigation DSS; Quality Control DSS; Mutual Fund Investment DSS; Software Marketing DSS; Proposal Guidelines
  • Part Three - Knowledge-Management Techniques for Decision Support
    • Chapter Nine - Expression, Text, Hypertext, and Database Management
      • DSS Insights Case - Coast Guard: A DSS for Procurement Decisions
      • 9.1 Introduction; 9.2 Expression Management; 9.3 Text Management; 9.4 Hypertext Management; 9.5 Database Management; 9.6 Summary
    • Chapter Ten - Solver, Spreadsheet, Program, and Menu Management
      • DSS Insights Case - Texaco: A DSS for Blending Operation Decisions
      • 10.1 Introduction; 10.2 Solver Management; 10.3 Spreadsheet Management; 10.4 Program Management; 10.5 Menu Management; 10.6 Summary
    • Chapter Eleven - Forms, Reports, Grapics, Rule, and Message Management
      • DSS Insights Case - Southland: A DSS for Routing Decisions
      • 11.1 Introduction; 11.2 Forms Management; 11.3 Report Management; 11.4 Graphics Management 11.5 Rule Management; 11.6 Message Management; 11.7 Integrating Toward a General Problem Processor; 11.8 Summary
    • Part Three - Case Study
      • A Variance Analysis Investigation DSS; A Software Marketing DSS
  • Part Four - Artificially Intelligent Decision Support Systems
    • Chapter Twelve - Overview of Artificially Intelligent Decision Support Sstems
      • DSS Insights Case - Cadila Labs: An Artificially Intelligent DSS for Drug Preformulation Decisions
      • 12.1 Introduction; 12.2 The Evolution of Reasoning Systems; 12.3 Other Branches of AI; 12.4 Potential Benefits of Expert Systems; 12.5 Summary
    • Chapter Thirteen
      • DSS Insights Case - Australia: An Artificially Intelligent DSS for Crop Decisions
      • 13.1 Introduction; 13.2 Rules for Reasoning; 13.3 Reasoning with Rules; 13.4 Interacting with Inference Engines; 13.5 Summary
    • Chapter Fourteen - Developing an Artificially Intelligent DSS
      • DSS Insights Case - Banking: An Artificially Intelligent DSS for Commercial Loan Decisions
      • 14.1 Introduction; 14.2 Expert System Opportunities; 14.3 Seizing an Expert System Opportunity; 14.4 The Development Process; 14.5 Study and Problem Definition; 14.6 Rule Set Specification; 14.7 Expert Testing; 14.8 Interface Construction; 14.9 User Testing and Installation; 14.10 Summary
    • Chapter Fifteen - Advaced Reasoning Topics
      • DSS Insights Case - Ontario: An Artificially Intelligent DSS for Tillage Decisions
      • 15.1 Introduction; 15.2 Reasoning Variations; 15.3 Dealing with Uncertainty; 15.4 Fuzzy Variables; 15.5 Summary
    • Part Four - Case Study
      • Artificially Intelligent Systems to Support:
        • Site-Selection Decisions
        • Resource-Allocation Decisions
        • Robot Gripper Decisions
  • Part Five - Multiparticipant and Executive Decision Support Systems
    • Chapter Sixteen - Organizational Computing for Decision Support
      • DSS Insights Case Study - MCI: A Groupware System to Support Research Request Processing
      • 16.1 Introduction; 16.2 Organizationwide Decision Support Systems; 16.3 Organizational Computing; 16.4 Summary
    • Chapter Seventeen - Multiparticipant Decision Support Systems
      • DSS Insights Case Study - Burr-Brown: Computer-Based Support of a Group's Annual Strategic Planning Decisions
      • 17.1 Introduction; 17.2 MDSSs: Distinctions and Commonalities; 17.3 Group Decision Support Systems 17.4 Organizational DSSs; 17.5 Negotiation Support Systems; 17.6 Summary
    • Chapter Eighteen - Executive Information Systems
      • DSS Insights Case Study - Pratt & Whitney: An Executive Information System
      • 18.1 Introduction; 18.2 The Information Needs of Top Executives; 18.3 The Nature of Executive Information Needs; 18.4 Developing an Executive Information System; 18.5 Limitations on Executive Information Systems; 18.6 Conditions Leading to Executive Information Systems; 18.7 Summary
    • Chapter Nineteen - Knowledge-Based Organizations
      • DSS Insights Case Study - Boeing: Systems to Link and Coordinate Knowledge Workers
      • 19.1 Introduction; 19.2 Knowledge Workers; 19.3 Knowledge-Based Organizations; 19.4 Management of Knowledge-Based Organizations; 19.5 Realization of Knowledge-Based Organizations; 19.6 The Emerging Knowledge Society; 19.7 Summary
  • Appendix A - Expression Management
  • Appendix B - Text Management
  • Appendix C - Data Management
  • Appendix D - Program Management
  • Appendix E - AI Knowledge Representation
  • Appendix F - Machine Learning
  • Appendix G - Sample Knowledge System Contents
  • Appendix H - Sample Knowledge System Contents for Artificially Intelligent Decision Support Systems