[PDF][PDF] Optimization of imprecise decision tables

J Francioni - Proceedings of the 18th annual Southeast regional …, 1980 - dl.acm.org
J Francioni
Proceedings of the 18th annual Southeast regional conference, 1980dl.acm.org
Heretofore, decision tables have always been deterministic. Because of this, the
minimization of decision tables has been done under the laws of Boolean algebra. But what
happens when the entries in a decision table are not Boolean in nature? There are many
examples in the real world of cases where Boolean decision tables are not adequate. One
such example is in the field of medical diagnostics. The symptoms of an illness are usually
fuzzy. It is very difficult to describe pain in exact and precise terms. Other symptoms, such as …
Heretofore, decision tables have always been deterministic. Because of this, the minimization of decision tables has been done under the laws of Boolean algebra. But what happens when the entries in a decision table are not Boolean in nature? There are many examples in the real world of cases where Boolean decision tables are not adequate.
One such example is in the field of medical diagnostics. The symptoms of an illness are usually fuzzy. It is very difficult to describe pain in exact and precise terms. Other symptoms, such as discoloration and swelling, have no exact definition in relation to appearance. The doctor, however, must decide on specific tests to be administered or specific medication to be prescribed based on fuzzy symptoms. For example, Figure I is a modified form of a decision table which deals with symptoms of mononucleosis and strept throat. The
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