Technical data mining with evolutionary radial basis function classifiers

So near and yet so far: New insight into properties of some well-known classifier paradigms

“…An important motivation for the use of a fuzzy system are often the interpretability and the comprehensibility [4] of the contained rules. The former says that the rules can principally be read by humans.…”

On the versatility of radial basis function neural networks: A case study in the field of intrusion detection

“…That is, the rules can be represented in a humanintelligible form. In addition, understandability describes how easily rules can be understood by human domain experts [58]. For example, the number of rules should be low or premises should be short.…”