{"title":"基于改进灰色关联分析法的空中目标威胁程度评价","authors":"Zhi Jun, L. Jianyong, Fu Chengqun, Cheng Kai","doi":"10.1109/GSIS.2009.5408215","DOIUrl":null,"url":null,"abstract":"It puts forward a method of improved grey interrelated analysis in the evaluation of aerial target threat degree. Firstly it sets up comprehensive difference matrix in order to improve the sensitivity and accuracy of threat degree calculation. Secondly it fixes every index weight through threat membership degree. Thirdly it calculates and arranges the weighted average comprehensive value in an order. The experiment result shows that the evaluation result of using improved grey interrelated analysis method and genetic neural network algorithm are totally unanimous.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Evaluation of aerial target threat degree based on improved grey interrelated analysis method\",\"authors\":\"Zhi Jun, L. Jianyong, Fu Chengqun, Cheng Kai\",\"doi\":\"10.1109/GSIS.2009.5408215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It puts forward a method of improved grey interrelated analysis in the evaluation of aerial target threat degree. Firstly it sets up comprehensive difference matrix in order to improve the sensitivity and accuracy of threat degree calculation. Secondly it fixes every index weight through threat membership degree. Thirdly it calculates and arranges the weighted average comprehensive value in an order. The experiment result shows that the evaluation result of using improved grey interrelated analysis method and genetic neural network algorithm are totally unanimous.\",\"PeriodicalId\":294363,\"journal\":{\"name\":\"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2009.5408215\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2009.5408215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of aerial target threat degree based on improved grey interrelated analysis method
It puts forward a method of improved grey interrelated analysis in the evaluation of aerial target threat degree. Firstly it sets up comprehensive difference matrix in order to improve the sensitivity and accuracy of threat degree calculation. Secondly it fixes every index weight through threat membership degree. Thirdly it calculates and arranges the weighted average comprehensive value in an order. The experiment result shows that the evaluation result of using improved grey interrelated analysis method and genetic neural network algorithm are totally unanimous.