Representation Requirements for Supporting Decision Model Formulation
نویسنده
چکیده
This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to exist ing representations, some insights are gained into a design approach for integrating cate gorical and uncertain knowledge in a context sensitive manner.
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تاریخ انتشار 1991