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MODEL TYPE SELECTION IN AN INTEGRATED DSS ENVIRONMENT
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PRE
AI
DOI：10.1016/0167-9236(93)90024-W.png)
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Abstract
En 中文
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.
Keywords:
MODEL MANAGEMENT
DECISION SUPPORT SYSTEMS
KNOWLEDGE BASED SYSTEMS
MODEL SELECTION
MANAGEMENT SCIENCE
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6.8
Papers:
3.8K
Citations:
1.5W
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