Abstract
Taguchi's RT method is designed under the assumption that all variables are measured in the same units. Therefore, an appropriate analysis cannot be necessarily done when applying RT method to continuous type data that the variables are measured in different units. This becomes a big problem when adapting RT method to various fields. In this paper, we present a new procedure to apply RT method to continuous type data that the variables have different units. And, which procedures becomes a powerful procedure is verified together with other procedures to which the full discussion has not been performed yet. Firstly, we evaluate the performance of all procedures by analyzing KDDCup99 dataset. Secondly, the feature of procedures that obtain good evaluations is compared and analyzed by simulation in detail. Our experiments with KDDCup99 dataset show that a new procedure has good performance. We also reveal that in a new procedure, it is useful for the analysis to evaluate variables more reasonably than other procedures, and to consider the correlation between variables. This study concludes that a new procedure is one of the powerful procedures and RT method can become a effective method to anomaly detection etc. for high-dimensional data by using it.
