A survey on improvement of Mahalanobis Taguchi system and its application
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...
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2024
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| author | 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. |
| author2 | 58193432800 |
| author_facet | 58193432800 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. |
| author_sort | Tan L.M. |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. However, the high correlation among variables shows an effect on the inverse of the correlation matrix that uses in the calculation of MD and hence affects the accuracy of the MD. Therefore, Mahalanobis-Taguchi-Gram-Schmidt (MTGS) system is proposed in order to solve the problem of multicollinearity. The value of MD can be calculated by using the Gram-Schmidt Orthogonalization Process (GSOP). Besides, the computational speed and the accuracy in optimization using OA and SNR are other issues that are concerned the authors. Hence, the combination of MTS and other methods such as Binary Particles Swarm Optimization (BPSO) and Binary Ant Colony Optimization (NBACO) is proposed to improve the computational speed and the accuracy in optimization. The purpose of this paper is to review and summarize some works that developed and used the hybrid methodology of MTS as well as its application in several fields. Moreover, a discussion about the future work that can be done related to MTS is carried out. � 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. |
| format | Article |
| id | my.uniten.dspace-33987 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2024 |
| publisher | Springer |
| record_format | dspace |
| spelling | my.uniten.dspace-339872024-10-14T11:17:35Z A survey on improvement of Mahalanobis Taguchi system and its application 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. 58193432800 55860800560 50862369800 38561331300 57190941028 55982859700 56319654100 55983627200 57779474600 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. However, the high correlation among variables shows an effect on the inverse of the correlation matrix that uses in the calculation of MD and hence affects the accuracy of the MD. Therefore, Mahalanobis-Taguchi-Gram-Schmidt (MTGS) system is proposed in order to solve the problem of multicollinearity. The value of MD can be calculated by using the Gram-Schmidt Orthogonalization Process (GSOP). Besides, the computational speed and the accuracy in optimization using OA and SNR are other issues that are concerned the authors. Hence, the combination of MTS and other methods such as Binary Particles Swarm Optimization (BPSO) and Binary Ant Colony Optimization (NBACO) is proposed to improve the computational speed and the accuracy in optimization. The purpose of this paper is to review and summarize some works that developed and used the hybrid methodology of MTS as well as its application in several fields. Moreover, a discussion about the future work that can be done related to MTS is carried out. � 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. Final 2024-10-14T03:17:35Z 2024-10-14T03:17:35Z 2023 Article 10.1007/s11042-023-15257-5 2-s2.0-85153384535 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153384535&doi=10.1007%2fs11042-023-15257-5&partnerID=40&md5=fc0f4c2b9d254f8c0cbda04b8aba28e6 https://irepository.uniten.edu.my/handle/123456789/33987 82 28 43865 43881 Springer Scopus |
| spellingShingle | 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 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. A survey on improvement of Mahalanobis Taguchi system and its application |
| title | A survey on improvement of Mahalanobis Taguchi system and its application |
| title_full | A survey on improvement of Mahalanobis Taguchi system and its application |
| title_fullStr | A survey on improvement of Mahalanobis Taguchi system and its application |
| title_full_unstemmed | A survey on improvement of Mahalanobis Taguchi system and its application |
| title_short | A survey on improvement of Mahalanobis Taguchi system and its application |
| title_sort | survey on improvement of mahalanobis taguchi system and its application |
| topic | 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 |
| url_provider | http://dspace.uniten.edu.my/ |