Knowledge Discovery using Average Compressed Entropy for selecting retrofitting Method of Steel Bridges Damaged by Fatigue

Abstract

[ABSTRACT] For the purpose of knowledge discovery, we evaluated average compressed entropies for a case-base virtually constructed through some inferences with the inference system that we proposed for selecting the retrofitting method. It is found from the analyses that the average compressed entropy is an effective measure for the discovery of knowledge that is implicitly buried into dada-bases or case-bases.