A. Bendavid et Dl. Jagerman, EVALUATION OF THE NUMBER OF CONSISTENT MULTIATTRIBUTE CLASSIFICATION RULES, Engineering applications of artificial intelligence, 10(2), 1997, pp. 205-211
Classification rules that are explicitly expressed by even experienced
decision-makers are often in conflict with respect to each other The
disagreements among conflicting rules have typically to be resolved be
fore the rules can be used as tutorial exemplars, in written manuals,
or in computerized expert systems. In the latter case, an evaluation o
f the number of rules that are in agreement with respect to each other
is often needed, for example, to predict memory requirements and resp
onse time. Conflict resolution is viewed here as a stochastic process
with a single parameter. The statistical distribution of the number of
consistent classification rules is derived, as well as a closed-form
expression of their expected number. (C) 1997 Elsevier Science Ltd.