To classify objects which has never been seen before, rules generated from a training set will be used. We will assume these rules are of the form
A=a D=d with probability p.where A is a set of condition attributes and D is the decision attribute.
First, we will discuss how to use the probability or accuracy of
the rules in the classification process, and then we will look at a
more advanced method which uses a principle called weight of
measure.