Decision Support Systems: Theory and Application

Researchers and practitioners interested in the current De- cision Support System (DSS) and the shape of future DSS are the intended audience of this book. There is a particular, recurring emphasis on the adaptation of artificial intelli- gence techniques for use in the DSS world. The chapters are organized in two major sections, the first dealing with the- oretical topics and the second with applications.

Section I — Concepts and Theory.- 1. Paradoxes Around Dss.- 2. A Relational Theory of Model Management.- 3. Data and Knowledge Base Management Systems for Decision Support.- 4. Conceptual Modelling for Knowledge-Based DSS Development.- 5. Introducing AI in OPTRANS, a DSS Generator.- 6. Characteristics of a Successful DSS User’s Needs vs. Builder’s Needs.- 7. Artificially Intelligent Decision Support Systems - Criteria for Tool Selection.- Section II — Applications.- 8. Decision Support in Office Information Systems.- 9. An Events Accounting Foundation for DSS Implementation.- 10. Auditing, Artificial Intelligence and Expert Systems.- 11. Some Preliminary Notes on the Development of a General DSS for Auditors.- 12. On Knowledge-Based Decision Support Systems for Financial Diagnostics.- 13. Decision Support Systems for Resource Allocation.- 14. Decision Support Systems — A Case Study in the Use of DBMS Technology in Energy Management.- 15. Development, Use, and Verification of Expert Systems in Modelling Microeconomic Systems.- 16. Strategy Planning: Implications for the Design of DSS.- 17. Computer-Assisted Strategic Planning.