A theoretical survey on Mahalanobis-Taguchi system

ZP Chang, YW Li, N Fatima - Measurement, 2019 - Elsevier
Abstract The Mahalanobis-Taguchi System (MTS) is a diagnosis and forecasting method
employing Mahalanobis Distance (MD) and Taguchi's Robust Engineering in a …

Mahalanobis-Taguchi system: state of the art

CG Mota-Gutiérrez, EO Reséndiz-Flores… - International Journal of …, 2018 - emerald.com
Purpose The purpose of this paper is to show a bibliographical review of the applications of
the MTS throughout the time and the different fields. Design/methodology/approach The …

Classification performance of thresholding methods in the Mahalanobis–Taguchi system

F Ramlie, WZAW Muhamad, N Harudin, MY Abu… - Applied Sciences, 2021 - mdpi.com
The Mahalanobis–Taguchi System (MTS) is a pattern recognition tool employing
Mahalanobis Distance (MD) and Taguchi Robust Engineering philosophy to explore and …

Enhancing the Bees Algorithm using the traplining metaphor

AH Ismail - 2021 - etheses.bham.ac.uk
This work aims to improve the performance of the Bees Algorithm (BA), particularly in terms
of simplicity, accuracy, and convergence. Three improvements were made in this study as a …

[PDF][PDF] Mahalanobis-Taguchi system for pattern recognition: A brief review

W Muhamad, F Ramlie… - Far East Journal of …, 2017 - researchgate.net
Mahalanobis-Taguchi system (MTS) is a data mining method that employs Mahalanobis
distance (MD) and Taguchi robust engineering philosophy, in order to explore and exploit …

An overview of taguchi'S T-method as A prediction tool for multivariate analysis

N Harudin, KR Jamaludin, F Ramli… - … International Journal of …, 2019 - oiji.utm.my
Abstract Analysis of prediction has attracted considerable interest in various fields. Taguchi's
T-Method is a prediction method introduced by Genichi Taguchi in mid-year 2000, among …

A significant feature selection in the mahalanobis taguchi system using modified-bees algorithm

F Ramlie, WZAW Muhamad, KR Jamaludin… - 2020 - scholarsmine.mst.edu
This paper compares the performance of orthogonal array (OA), modified-Bees Algorithm
(mBA) and conventional Bees Algorithm (BA) in significant feature selection scheme …

Optimal variable screening in automobile motor-head machining process using metaheuristic approaches in the Mahalanobis-Taguchi System

YI Reyes-Carlos, CG Mota-Gutiérrez… - … International Journal of …, 2018 - Springer
Abstract The Mahalanobis-Taguchi System is a data analytical method for the diagnosis
and/or pattern recognition with multivariate data and it is useful for quantitative decision …

Fault detection and optimal feature selection in automobile motor-head machining process

EO Reséndiz-Flores, JA Navarro-Acosta… - … International Journal of …, 2018 - Springer
This work presents a comparison among four methodologies for fault detection and feature
selection applied to dimensional quality control in an automobile motor-head machining …

Binary particle swarm optimization for variables selection optimization in Taguchi's T-Method

N Harudin, KR Jamaludin, F Ramlie… - …, 2020 - matematika.utm.my
Prediction analysis has drawn significant interest in numerous field. Taguchi's T-Method is a
prediction tool that developed practically but not limited to small sample analysis. It was …