The analysis of assumptions in model bases using metagraphs

被引:18
作者
Basu, A [1 ]
Blanning, RW [1 ]
机构
[1] Vanderbilt Univ, Owen Grad Sch Management, Nashville, TN 37203 USA
关键词
assumptions; model management; graph theory; decision support systems; information systems;
D O I
10.1287/mnsc.44.7.982
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Decision models are often based on certain assumptions as to their validity. Relevant assumptions may include value-based assumptions, such as limitations on the range or values of some input variables or exogenous factors, as well as assumptions about model structure (e.g., Linearity). In a model base consisting of many models, there may be several models (or collections of models) that can be used to solve a particular problem. We may wish to know what the applicable models are, what assumptions are associated with these models, and whether a given set of assumptions is necessary and/or sufficient for solving the problem. We describe an analytical approach, based on a graph-theoretic construct called a metagraph, and show how it can be used to represent and analyze assumptions in model bases.
引用
收藏
页码:982 / 995
页数:14
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