{"title":"基于灰色模糊理论的航空维修安全风险综合评价评价模型","authors":"Wang Xiaolin, Xu Jihui, Cheng YuJin","doi":"10.1145/3277139.3277148","DOIUrl":null,"url":null,"abstract":"In this paper, using the System Safety, the system identifies the factors that affect the safety risk of the aviation maintenance, and reveals the internal mechanism of the safe risk. On the basis of the literature reference, the questionnaire for the design of safe risk indicators for aviation maintenance was designed, and the risk indicators were determined through two rounds of iterative screening, including 6 primary indexes and 15 secondary indicators. Using AHP, fuzzy theory and grey theory, the paper constructs a grey fuzzy comprehensive evaluation model. In the end, the application and validation of the model are verified in combination with a large team, and the corresponding measures and suggestions are put forward according to the evaluation results.","PeriodicalId":272703,"journal":{"name":"Proceedings of the 1st International Conference on Information Management and Management Science","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A comprehensive evaluation assessment model to aviation maintenance safety risk based on grey fuzzy theory\",\"authors\":\"Wang Xiaolin, Xu Jihui, Cheng YuJin\",\"doi\":\"10.1145/3277139.3277148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, using the System Safety, the system identifies the factors that affect the safety risk of the aviation maintenance, and reveals the internal mechanism of the safe risk. On the basis of the literature reference, the questionnaire for the design of safe risk indicators for aviation maintenance was designed, and the risk indicators were determined through two rounds of iterative screening, including 6 primary indexes and 15 secondary indicators. Using AHP, fuzzy theory and grey theory, the paper constructs a grey fuzzy comprehensive evaluation model. In the end, the application and validation of the model are verified in combination with a large team, and the corresponding measures and suggestions are put forward according to the evaluation results.\",\"PeriodicalId\":272703,\"journal\":{\"name\":\"Proceedings of the 1st International Conference on Information Management and Management Science\",\"volume\":\"2016 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st International Conference on Information Management and Management Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3277139.3277148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Conference on Information Management and Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3277139.3277148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comprehensive evaluation assessment model to aviation maintenance safety risk based on grey fuzzy theory
In this paper, using the System Safety, the system identifies the factors that affect the safety risk of the aviation maintenance, and reveals the internal mechanism of the safe risk. On the basis of the literature reference, the questionnaire for the design of safe risk indicators for aviation maintenance was designed, and the risk indicators were determined through two rounds of iterative screening, including 6 primary indexes and 15 secondary indicators. Using AHP, fuzzy theory and grey theory, the paper constructs a grey fuzzy comprehensive evaluation model. In the end, the application and validation of the model are verified in combination with a large team, and the corresponding measures and suggestions are put forward according to the evaluation results.
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