Foundations of Decision Support Systems

1st Edition - May 28, 1981

Authors: Robert H. Bonczek, Clyde W. Holsapple, Andrew B. Whinston

Editor: J. William Schmidt

eBook ISBN:

9 7 8 - 1 - 4 8 3 2 - 6 8 7 2 - 9

Foundations of Decision Support Systems focuses on the frameworks, strategies, and techniques involved in decision support systems (DSS). The publication first takes a look at… Read more

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Foundations of Decision Support Systems focuses on the frameworks, strategies, and techniques involved in decision support systems (DSS). The publication first takes a look at information processing, decision making, and decision support; frameworks for organizational information processing and decision making; and representative decision support systems. Discussions focus on classification scheme for DSS, abilities required for decision making, division of information-processing labor within an organization, and decision support. The text then elaborates on ideas in decision support, formalizations of purposive systems, and conceptual and operational constructs for building a data base knowledge system. The book takes a look at building a data base knowledge system, language systems for data base knowledge systems, and problem-processing systems for data base knowledge systems. Topics include problem processors for computationally oriented DSS, major varieties of logical data structures, and indirect associations among concepts. The manuscript also examines operationalizing modeling knowledge in terms of predicate calculus; combining the data base and formal logic approaches; and the language and knowledge systems of a DSS based on formal logic. The publication is a valuable reference for researchers interested in decision support systems.

Foreword

Preface

Part I Information Processing, Decision Making, and Decision Support-Some Perspective

Chapter 1 Introduction to Information Processing, Decision Making, and Decision Support

1.00 The Information Age

1.10 Decision Making

1.20 Decision Support

1.30 Conclusion

References

Chapter 2 Frameworks for Organizational Information Processing and Decision Making

2.00 Introductory Comments

2.10 Division of Information-Processing Labor within an Organization

2.20 Abilities Required for Decision Making

References

Part II Representative Systems for Decision Support

Chapter 3 Representative Decision Support Systems

3.00 Systems That Include Models

3.10 Classification Scheme for DSS

3.20 Conclusion

References

Chapter 4 New Ideas in Decision Support

4.00 Generic Description for Decision Support Systems

4.10 The Shape of Systems to Come

4.20 Rationale for the Study of a Generalized Problem Processor

4.30 Conclusion

References

Chapter 5 Formalizations of Purposive Systems

5.00 Formalizing Purposive Behavior

5.10 The State Space Approach to Decision Support

5.20 The Problem Reduction Approach to Decision Support

5.30 A Production System Approach to DSS

5.40 Conclusion

References

Part III Decision Support Systems from the Data Base Angle

Chapter 6 Conceptual and Operational Constructs for Building a Data Base Knowledge System

6.00 Introductory Comments

6.10 Conceptual Constructs for Representing Knowledge

6.20 Simple Files and Tables

6.30 Associative Relationship Between Aggregate Concepts

References

Chapter 7 Building a Data Base Knowledge System

7.00 More Complex Data Structures

7.10 Indirect Associations among Concepts

7.20 The Major Varieties of Logical Data Structures

7.30 A Design Procedure

References

Chapter 8 Language Systems for Data Base Knowledge Systems

8.00 Introduction

8.10 Languages for Directing Retrieval

8.20 Languages for Directing Computations in the Case of Data Base KS

8.30 Appendix: Commands Used with MDBS

References

Chapter 9 Problem-Processing Systems for Data Base Knowledge Systems

9.00 Overview

9.10 Problem Processing for Retrieval—Only DSS

9.20 Problem Processors for Computationally Oriented DSS

9.30 Summary

9.40 Appendix: A Category L Processing Example

References

Chapter 10 Extensions

10.00 Introduction

10.10 Language Extensions

10.20 Data Base Extensions

10.30 Conclusion

References

Part IV Formal Logic Approach to Decision Support

Chapter 11 The Language and Knowledge Systems of a DSS Based on Formal Logic

11.00 Introductory Remarks

11.10 Conceptual Framework

11.20 Operational Constructs

11.30 A Language System for Predicate Expressions

References

Chapter 12 Problem-Processing Systems for Predicate Calculus

12.00 Introduction

12.10 Information Collection

12.20 Problem Recognition

12.30 Examples of Resolution

References

Part V Integrating the Data Base and Formal Logic Approaches to Decision Support

Chapter 13 Combining the Data Base and Formal Logic Approaches

13.00 Introduction

13.10 Viewing Retrieval as Inference

13.20 A Mixed System of Knowledge Representation and Its Problem Processor

13.30 Knowledge Representation Via Frames

13.40 Conclusion

References

Chapter 14 Operationalizing Modeling Knowledge in Terms of Predicate Calculus

14.00 Introduction

14.10 Conceptual Description of the Dynamic Approach

14.20 Operationalization Overview

14.30 Conclusion

References

Chapter 15 Concluding Remarks

15.00 Introduction

15.10 Background

15.20 The Setting of DSS within an Expanded View of Decision Making

15.30 An Outline of DSS Implementation Issues

15.40 Further Research Topics

References

Index