Universiti Teknologi Malaysia Institutional Repository

Determination of optimal unit space data for taguchi’s t-method based on homogeneity of output

Marlan, Z. M. and Jamaludin, K. R. and Harudin, N. and Jaafar, N. N. (2019) Determination of optimal unit space data for taguchi’s t-method based on homogeneity of output. Open International Journal of Informatics, 7 . pp. 167-179. ISSN 2289-2370


Official URL: http://apps.razak.utm.my/ojs/index.php/oiji/articl...


Taguchi’s T-method is a prediction model introduced by Genichi Taguchi under the Mahalanobis- Taguchi System to determine the future state or unknown output based on existing or historical data. The prediction model was constructed using normalized signal data involving subtraction of average value of unit space data from signal data. The objective of this research is to determine a group of data having homogeneous characteristics from a densely populated region in a dataset to functioned as a basis for unit space data selection in T-method for predicting an accurate outcome. Histogram was utilized as a tool in representing data in multiple groups and a group with highest data frequency defined as unit space data. Nine different number of bins was used in assessing the effect of unit space data towards prediction accuracy. The result from the experiments on six different datasets indicates that no single number of bin fit for all in offering an optimal result. In addition, the size of unit space data and signal data do not significantly affect the final outcome. However, except for Auto MPG dataset, all different numbers of bin resulted in better prediction accuracy with less MSE and RMSE as compared to conventional T-method.

Item Type:Article
Uncontrolled Keywords:Taguchi’s T - Method, Prediction Model
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:88583
Deposited By: Siti Norlela Isnin
Deposited On:15 Dec 2020 18:53
Last Modified:15 Dec 2020 18:53

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