Foundations of Decision Support Systems

By Robert H. Bonczek, Clyde W. Holsapple, Andrew B. Whinston

Bonczek, R. H., C. W. Holsapple, and A. Whinston. Foundations of Decision Support Systems. Academic Press, 1981
ISBN 0-12-113050-9

Table Of Contents:

Part One: INFORMATION PROCESSING, DECISION MAKING, AND DECISION SUPPORT-SOME PERSPECTIVES

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 Two: 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 Three: 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 Four: 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 Five: INTEGRATING THE DATABASE 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
 
D. Baccam & D. Power, April 2, 1999