Journal article
Model type selection in an integrated DSS environment
Decision Support Systems, v 9(1), pp 75-89
1993
Abstract
Effective computer based support for the use of analytic models in management decision making requires model management systems (MMS) that facilitate all phases of the modeling process. Existing approaches to the design of MMS commonly assume that the type of model needed to solve each problem is predetermined by the decision maker. This is a limited view, since determination of the appropriate model type is a difficult task, and is hampered by the subjective preferences of individuals. In this paper, we describe the model (type) selection process, argue why support for this should be integral to MMS design, and overview an approach to the design of the model selection subsystem in an integrated DSS.
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Details
- Title
- Model type selection in an integrated DSS environment
- Creators
- Snehamay Banerjee - Drexel UniversityAmit Basu - Vanderbilt UniversityAmitabha Basu - School of Education (1997-)
- Publication Details
- Decision Support Systems, v 9(1), pp 75-89
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Education
- Web of Science ID
- WOS:A1993KH90300007
- Scopus ID
- 2-s2.0-0027306865
- Other Identifier
- 991019173842204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Operations Research & Management Science