Abstract
Heuristic classification is suitable for classification problems in which it is known from experience which observations— or combinations of observations — indicate intermediate or final solutions, and with what degree of certainty. Thus the basic object types are observations, solutions and rules of the form “observation indicates solution” (O → S, with certainty x). That solution is selected which has the highest total score on the basis of the observations (Fig. 15.1).
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© 1993 Springer-Verlag Berlin Heidelberg
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Puppe, F. (1993). Heuristic Classification. In: Systematic Introduction to Expert Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77971-8_15
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DOI: https://doi.org/10.1007/978-3-642-77971-8_15
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