A Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL

In order to improve the scientificity of the quantity guarantee of aircraft spare parts carried during the mission and fully consider all kinds of influencing factors in the mission, the XGBoost algorithm is adopted to predict the demand of aircraft spare parts carried. Firstly, various factors affe...

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Autor principal:	Song Chuanzhou, Wang Ruiqi, Li Tianqing, Liu Ke, Yin Wenguang
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Aero Weaponry 2021
Materias:	\|xgboost\|mission-oriented\|aircraft spare parts carried\|consumption prediction\|gra\|dematel\|prediction method Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/2b986aa37cb7484784f6ad36769baffd
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id	oai:doaj.org-article:2b986aa37cb7484784f6ad36769baffd
record_format	dspace
spelling	oai:doaj.org-article:2b986aa37cb7484784f6ad36769baffd2021-11-30T00:13:33ZA Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL1673-504810.12132/ISSN.1673-5048.2020.0171https://doaj.org/article/2b986aa37cb7484784f6ad36769baffd2021-08-01T00:00:00Zhttps://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1631769688546-637670482.pdfhttps://doaj.org/toc/1673-5048In order to improve the scientificity of the quantity guarantee of aircraft spare parts carried during the mission and fully consider all kinds of influencing factors in the mission, the XGBoost algorithm is adopted to predict the demand of aircraft spare parts carried. Firstly, various factors affecting aircraft spare parts consumption in different missions are analyzed, and a predictive feature system is established according to the principles of comprehensiveness, systematization, science and conciseness. Secondly, GRA, XGBoost, DEMATEL algorithm are used to analyze and screen the importance and relevance of features, and a simplified version of feature system is established. Thirdly, the grid search method is used to adjust parameters to improve the accuracy and efficiency of model prediction. Finally, through example analysis and comparative analysis with GBDT, SVM algorithms, it is verified that this method can reduce the prediction error and avoid over fitting in the case of limited sample data and many influencing factors, and has good practicability and efficiency.Song Chuanzhou, Wang Ruiqi, Li Tianqing, Liu Ke, Yin WenguangEditorial Office of Aero Weaponryarticle\|xgboost\|mission-oriented\|aircraft spare parts carried\|consumption prediction\|gra\|dematel\|prediction methodMotor vehicles. Aeronautics. AstronauticsTL1-4050ZHHangkong bingqi, Vol 28, Iss 4, Pp 88-96 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	\|xgboost\|mission-oriented\|aircraft spare parts carried\|consumption prediction\|gra\|dematel\|prediction method Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	\|xgboost\|mission-oriented\|aircraft spare parts carried\|consumption prediction\|gra\|dematel\|prediction method Motor vehicles. Aeronautics. Astronautics TL1-4050 Song Chuanzhou, Wang Ruiqi, Li Tianqing, Liu Ke, Yin Wenguang A Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL
description	In order to improve the scientificity of the quantity guarantee of aircraft spare parts carried during the mission and fully consider all kinds of influencing factors in the mission, the XGBoost algorithm is adopted to predict the demand of aircraft spare parts carried. Firstly, various factors affecting aircraft spare parts consumption in different missions are analyzed, and a predictive feature system is established according to the principles of comprehensiveness, systematization, science and conciseness. Secondly, GRA, XGBoost, DEMATEL algorithm are used to analyze and screen the importance and relevance of features, and a simplified version of feature system is established. Thirdly, the grid search method is used to adjust parameters to improve the accuracy and efficiency of model prediction. Finally, through example analysis and comparative analysis with GBDT, SVM algorithms, it is verified that this method can reduce the prediction error and avoid over fitting in the case of limited sample data and many influencing factors, and has good practicability and efficiency.
format	article
author	Song Chuanzhou, Wang Ruiqi, Li Tianqing, Liu Ke, Yin Wenguang
author_facet	Song Chuanzhou, Wang Ruiqi, Li Tianqing, Liu Ke, Yin Wenguang
author_sort	Song Chuanzhou, Wang Ruiqi, Li Tianqing, Liu Ke, Yin Wenguang
title	A Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL
title_short	A Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL
title_full	A Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL
title_fullStr	A Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL
title_full_unstemmed	A Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL
title_sort	mission-oriented aircraft spare parts carried consumption prediction method based on xgboost-gra-dematel
publisher	Editorial Office of Aero Weaponry
publishDate	2021
url	https://doaj.org/article/2b986aa37cb7484784f6ad36769baffd
work_keys_str_mv	AT songchuanzhouwangruiqilitianqingliukeyinwenguang amissionorientedaircraftsparepartscarriedconsumptionpredictionmethodbasedonxgboostgradematel AT songchuanzhouwangruiqilitianqingliukeyinwenguang missionorientedaircraftsparepartscarriedconsumptionpredictionmethodbasedonxgboostgradematel
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A Mission-Oriented Aircraft Spare Parts Carried Consumption Prediction Method Based on XGBoost-GRA-DEMATEL

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