If this conflicts with an existing case it will be noticed quickly. Otherwise, it will be apparent through studying the graphic representations or rules. Figure 24 Display of final dataset Figure 25 shows a spatial analysis of this dataset. The area behind the clients for whom neither form of lens are recommended has been shaded so that the structure of the knowledge base stands out. Clients rsb, au, lj and btm are standard cases for soft lenses, tw, ts, sv and pml are standard cases for hard.
Clients ajh, mmp and erms are standard cases for no lenses because their tear production is reduced.
Client mn is the anomalous case where soft lenses might otherwise be fitted. Clients kwa and xc are the anomalous cases where hard lenses might otherwise be fitted. Figure 26 shows the rules produced by an Induct analysis of the dataset. This rule set is logically identical to those of Figures 7 and 8. If the priority of the tear production attribute is set to 98 as before using the Type screen then exporting this dataset to the expert system shell produces the same correct behavior as before in consultations.