- 510 Downloads
The interpretability of FRBs might be hampered by the existence of a large number of rules or complicated ones. Thus, any attempt to use the FARB–ANN equivalence for knowledge extraction from large-scale networks must include a systematic approach for rule reduction and simplification.
Simplification procedures usually lead to a more interpretable rule-base with the cost of a degradation in the FRB performance. This tradeoff between complexity and interpretability can be viewed as one manifestation of Zadeh’s principle of incompatibility (see Section 1.2).
Unable to display preview. Download preview PDF.