Foundations of Decision Support Systems

¿ForewordPrefacePart 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 ReferencesPart 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 ReferencesPart 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 ReferencesPart 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 ReferencesPart 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.