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Foundations of Decision Support Systems
- 1st Edition - May 10, 2014
- Authors: Robert H. Bonczek, Clyde W. Holsapple, Andrew B. Whinston
- Editor: J. William Schmidt
- Language: English
- Paperback ISBN:9 7 8 - 1 - 4 8 3 2 - 3 6 3 9 - 1
- 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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Request a sales quoteFoundations 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
- No. of pages: 412
- Language: English
- Edition: 1
- Published: May 10, 2014
- Imprint: Academic Press
- Paperback ISBN: 9781483236391
- eBook ISBN: 9781483268729
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