A survey on improvement of Mahalanobis Taguchi system and its application

• Main Authors: Tan L.M., Wan Muhamad W.Z.A., Yahya Z.R., Junoh A.K., Azziz N.H.A., Ramlie F., Harudin N., Abu M.Y., Tan X.J.
• Other Authors: 58193432800
• Format: Article
• Published: Springer 2024
• Subjects: Mahalanobis distance; Mahalanobis Taguchi system; Mahalanobis-Taguchi-Gram-Schdimt, Optimization; Metaheuristic algorithm; Signal-to-noise ratio, Orthogonal Array; Ant colony optimization; Classification (of information); Computer aided diagnosis; Inverse problems; Pattern recognition; Regression analysis; ITS applications; Mahalanobi-taguchi-gram-schdimt, optimization; Mahalanobis; Mahalanobis distances; Mahalanobis-taguchi systems; Meta-heuristics algorithms; Optimisations; Orthogonal array; Signal-to-noise ratio, orthogonal array; System applications; Signal to noise ratio

Mahalanobis Taguchi System (MTS) is used for pattern recognition and classification, diagnosis, and prediction of a multivariate data set. Mahalanobis Distance (MD), orthogonal array (OA), and signal-to-noise ratio (SNR) are used in traditional MTS in order to identify and optimize the variables. Ho...