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The performance of Taguchi's T-method with binary bat algorithmbased on great value priority binarization for prediction |
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Creator | 1. Zulkifli Marlah Marlan 2. Faizir Ramlie 3. Khairur Rijal Jamaludin 4. Nolia Harudin |
Title | The performance of Taguchi's T-method with binary bat algorithmbased on great value priority binarization for prediction |
Publisher | Research and Development Office, Prince of Songkla University |
Publication Year | 2565 |
Journal Title | Songklanakarin Journal of Science an Technology (SJST) |
Journal Vol. | 44 |
Journal No. | 6 |
Page no. | 1489-1495 |
Keyword | Mahalanobis-Taguchi system, Taguchi's T-method, binary bat algorithm, great value priority, prediction model |
URL Website | https://sjst.psu.ac.th/ |
ISSN | 0125-3395 |
Abstract | Taguchi's T-method is a predictive modeling technique under the Mahalanobis-Taguchi system that is based on theregression principle and robust quality engineering elements to predict future state or unknown outcomes. In enhancingprediction accuracy, the T-method employed Taguchi's orthogonal array as a variable selection approach to determine a subset ofindependent variables that are significant toward the dependent variable or output. This, however, leads to sub-optimality ofprediction accuracy as the orthogonal array design lacks in offering higher-order variable interactions, in addition to its fixed andlimited variable combinations to be assessed and evaluated. This paper proposes an optimization algorithm based on the BinaryBat algorithm methodology for replacing the conventional orthogonal array approach. Specifically, a Great Value Prioritybinarization scheme is employed to transform the continuous location of the bat into a binary bit, representing a combination ofthe variable in binary string form. A comparative study was conducted, and the mean absolute error metric was used as theperformance measure. Experiments show that the T-method prediction accuracy with the Binary Bat algorithm based on theGreat Value Priority binarization scheme is better than that of the conventional T-method-orthogonal array. |