A survey on improvement of Mahalanobis Taguchi system and its application
Author:
Funder
Universiti Malaysia Perlis
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15257-5.pdf
Reference47 articles.
1. AroraSingh SS (2019) Butterfly optimization algorithm: a novel approach for global optimization. Soft Comput 23(3):715–734. https://doi.org/10.1007/s00500-018-3102-4
2. Bekaryan A, Song HJ, Hsu HP, Schaffner J, and Wiese R. 2007, Objective metric for antenna patterns comparison using mahalanobis-taguchi- gram-schmidt method. https://doi.org/10.1109/VETECF.2007.197.
3. Buenviaje B, Bischoff JE, Roncace RA, Willy CJ (2016) Mahalanobis-Taguchi System to Identify Preindicators of Delirium in the ICU. IEEE J Biomed Heal Informatics 20(4):1205–1212. https://doi.org/10.1109/JBHI.2015.2434949
4. Bum Kim S, Tsui KL, Sukchotrat T, Chen VCP (2009) A comparison study and discussion of the Mahalanobis-Taguchi System. Int J Ind Syst Eng 4(6):631. https://doi.org/10.1504/IJISE.2009.026768
5. Chang Z, Chen W, Gu Y, Xu H (2020) Mahalanobis-taguchi system for symbolic interval data based on kernel mahalanobis distance. IEEE Access 8:20428–20438. https://doi.org/10.1109/ACCESS.2020.2967411
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