| 摘要 |
A decision support system, including a decision model, provides an indication, either of itself or in combination with a weighted average of the scores assigned to the decision model factors, of the degree to which the pattern of contribution scores corresponds to a benchmark pattern. This indication, referred to as a matching index, can be calculated according to a class of matching index functions, including those based on regression-correlation and Bayesian pattern matching and cost/loss concepts. The matching index also allows the designation of model factors as 'Must Have' or 'Must Not Have' factors, and asymmetric functions for special circumstances. The decision support system can be used to assist in the control of a variety of systems and/or processes and/or in the analysis of information, wherever patterns of information may assist in the selection of an alternative from amongst a set of decision alternatives.
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