Multi-Class Classification Using Improved Mahalanobis-Taguchi System Based on Binary Tree and Its Application

Aiming at the inadequacy of Mahalanobis-Taguchi System(MTS), an improved MTS optimization model(MTSO) is proposed. The core idea is that a number of optimization objectives are proposed based on the purpose and characteristics of the data classification problem and optimization model is used for scr...

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Main Author: Niu Junlei
Format: Article
Language:zho
Published: Editorial Office of Aero Weaponry 2025-06-01
Series:Hangkong bingqi
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Online Access:https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2025-0023.pdf
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author Niu Junlei
author_facet Niu Junlei
author_sort Niu Junlei
collection DOAJ
description Aiming at the inadequacy of Mahalanobis-Taguchi System(MTS), an improved MTS optimization model(MTSO) is proposed. The core idea is that a number of optimization objectives are proposed based on the purpose and characteristics of the data classification problem and optimization model is used for screening important variables instead of orthogonal arrays and signal-noise-ratio. And a multi-class classification using improved MTS based on binary tree is proposed. Research the project of building binary tree, which makes a comprehensive consideration of capability of class partition and numbers of samples, according to characteristic of MTS. The experimental results show that the algorithm has a very short classification time and high identification rate, and is an effective multi-classification algorithm.
format Article
id doaj-art-92d76a9a363d4fce967155cf46b49630
institution DOAJ
issn 1673-5048
language zho
publishDate 2025-06-01
publisher Editorial Office of Aero Weaponry
record_format Article
series Hangkong bingqi
spelling doaj-art-92d76a9a363d4fce967155cf46b496302025-08-20T03:21:32ZzhoEditorial Office of Aero WeaponryHangkong bingqi1673-50482025-06-0132312513110.12132/ISSN.1673-5048.2025.0023Multi-Class Classification Using Improved Mahalanobis-Taguchi System Based on Binary Tree and Its ApplicationNiu Junlei0China Airborne Missile Academy, Luoyang 471009, ChinaAiming at the inadequacy of Mahalanobis-Taguchi System(MTS), an improved MTS optimization model(MTSO) is proposed. The core idea is that a number of optimization objectives are proposed based on the purpose and characteristics of the data classification problem and optimization model is used for screening important variables instead of orthogonal arrays and signal-noise-ratio. And a multi-class classification using improved MTS based on binary tree is proposed. Research the project of building binary tree, which makes a comprehensive consideration of capability of class partition and numbers of samples, according to characteristic of MTS. The experimental results show that the algorithm has a very short classification time and high identification rate, and is an effective multi-classification algorithm.https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2025-0023.pdf|mahalanobis-taguchi system|binary tree|multi-class classification|dimensionality reduction
spellingShingle Niu Junlei
Multi-Class Classification Using Improved Mahalanobis-Taguchi System Based on Binary Tree and Its Application
Hangkong bingqi
|mahalanobis-taguchi system|binary tree|multi-class classification|dimensionality reduction
title Multi-Class Classification Using Improved Mahalanobis-Taguchi System Based on Binary Tree and Its Application
title_full Multi-Class Classification Using Improved Mahalanobis-Taguchi System Based on Binary Tree and Its Application
title_fullStr Multi-Class Classification Using Improved Mahalanobis-Taguchi System Based on Binary Tree and Its Application
title_full_unstemmed Multi-Class Classification Using Improved Mahalanobis-Taguchi System Based on Binary Tree and Its Application
title_short Multi-Class Classification Using Improved Mahalanobis-Taguchi System Based on Binary Tree and Its Application
title_sort multi class classification using improved mahalanobis taguchi system based on binary tree and its application
topic |mahalanobis-taguchi system|binary tree|multi-class classification|dimensionality reduction
url https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2025-0023.pdf
work_keys_str_mv AT niujunlei multiclassclassificationusingimprovedmahalanobistaguchisystembasedonbinarytreeanditsapplication