Abstract
Recently, there has been a trend toward utilizing artificial intelligence techniques in decision support systems (DSSs) to enhance system capabilities and support. This paper focuses on using one such technique (productions or rules) for enhancing module representation, access, execution and maintenance flexibility in a class of systems called institutional DSSs. In the approach we propose, an organization maintains a portfolio of such DSSs. An individual system contains, in its knowledge base, only the "structural", "invocational" and "presentation" knowledge of the modules used by that system. Executable representations of all of the modules in the portfolio and the associated "procedural" knowledge are generated and stored in an external organizational model base (OMB). We discuss representation schemes for the three types of module-related knowledge in each DSS as well as the architecture for the system-user interface.
| Original language | English |
|---|---|
| Pages (from-to) | 265-278 |
| Number of pages | 14 |
| Journal | Information and Management |
| Volume | 20 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 1991 |
Bibliographical note
Funding Information:This research was funded in part by a Special Summer Faculty Research Fellowship from the President’s Fund for Excellence, University of Kentucky, Lexington, KY, and a Summer Research Grant from the School of Management, State University of New York at Buffalo, NY. We gratefully acknowledge the use of the resources of the MIS Research Laboratory, DSIS Department, University of Kentucky, Lexington, KY. The authors would also like to thank Dr. Andrew B. Whinston (Chair Professor of Management, University of Texas-Austin, Austin, TX) and the late Dr. King S. Fu (Goss Distinguished Professor of Engineering, Purdue University, West Lafayette, IN) for their inspiration and insights in developing the original prototype system. The contributions made by Drs. K.Y. Tam (University of Texas at Austin) and Dr. Y. Yang (University of Detroit) in implementing the prototype are also deeply appreciated.
Funding
This research was funded in part by a Special Summer Faculty Research Fellowship from the President’s Fund for Excellence, University of Kentucky, Lexington, KY, and a Summer Research Grant from the School of Management, State University of New York at Buffalo, NY. We gratefully acknowledge the use of the resources of the MIS Research Laboratory, DSIS Department, University of Kentucky, Lexington, KY. The authors would also like to thank Dr. Andrew B. Whinston (Chair Professor of Management, University of Texas-Austin, Austin, TX) and the late Dr. King S. Fu (Goss Distinguished Professor of Engineering, Purdue University, West Lafayette, IN) for their inspiration and insights in developing the original prototype system. The contributions made by Drs. K.Y. Tam (University of Texas at Austin) and Dr. Y. Yang (University of Detroit) in implementing the prototype are also deeply appreciated.
| Funders | Funder number |
|---|---|
| School of Management, State University of New York | |
| University of Kentucky |
Keywords
- Institutional DSS
- Knowledge manipulation
- Knowledge representation
- OPS5
- Production systems
ASJC Scopus subject areas
- Management Information Systems
- Information Systems
- Information Systems and Management