Decision Classification Enhances Case-Based Reasoning

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Stephen L. Woehrle

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Abstract

In order to arrive at a meaningful and useful classification of decisions, a sufficiently descriptive framework for classification should be created.  The use of the traditional programmed-nonprogrammed dichotomy is acceptable, but decisions themselves cannot always be treated as a single either/or entity.  Decision-making is a process involving distinct and separable steps.  A programmed-nonprogrammed classification scheme will be applied to a variety of different types of decisions.  Using Case-based Reasoning (CBR) various decision scenarios with their corresponding classifications can be stored.  The resulting database is a growing and evolving body of experience and knowledge to be used for future decision-making.

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