Renzheng Liu, Kangsheng Tian, Hao Li, Shanchao Yang, Feng-Zeng Liu
{"title":"基于不对称贴近度的雷达站情报质量评价","authors":"Renzheng Liu, Kangsheng Tian, Hao Li, Shanchao Yang, Feng-Zeng Liu","doi":"10.1109/icmcce.2018.00076","DOIUrl":null,"url":null,"abstract":"Aiming at the limits of fuzzy comprehensive evaluation on quality of radar station intelligence in actual training, a method of qual-ity comprehensive evaluation on radar station intelligence based on the theory of asymmetric closeness degree is presented in this paper. First, the evaluating metrics of quality evaluation on radar station intelligence are integrated and refined for six classes?i.e., timeliness, accuracy, availability, objectivity and continuity and so on, and then the corresponding assessing model is selected, for which the factor set?weight set, and comment set are established. Furthermore, compare analysis is used between the maximum membership degree, the Euclidean closeness degree and the asymmetric closeness degree method, to comprehensively evalu-ate the intelligence quality of the radar station. It shows that the asymmetric closeness degree method is more effective to take comprehensive evaluations of a certain quality of radar intelli-gence, and helpful for finding out the factors that determine the quality of the radar intelligence.","PeriodicalId":198834,"journal":{"name":"2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quality Evaluation of Radar Station Intelligence Based on Asymmetrical Closeness Degree\",\"authors\":\"Renzheng Liu, Kangsheng Tian, Hao Li, Shanchao Yang, Feng-Zeng Liu\",\"doi\":\"10.1109/icmcce.2018.00076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the limits of fuzzy comprehensive evaluation on quality of radar station intelligence in actual training, a method of qual-ity comprehensive evaluation on radar station intelligence based on the theory of asymmetric closeness degree is presented in this paper. First, the evaluating metrics of quality evaluation on radar station intelligence are integrated and refined for six classes?i.e., timeliness, accuracy, availability, objectivity and continuity and so on, and then the corresponding assessing model is selected, for which the factor set?weight set, and comment set are established. Furthermore, compare analysis is used between the maximum membership degree, the Euclidean closeness degree and the asymmetric closeness degree method, to comprehensively evalu-ate the intelligence quality of the radar station. It shows that the asymmetric closeness degree method is more effective to take comprehensive evaluations of a certain quality of radar intelli-gence, and helpful for finding out the factors that determine the quality of the radar intelligence.\",\"PeriodicalId\":198834,\"journal\":{\"name\":\"2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icmcce.2018.00076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icmcce.2018.00076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quality Evaluation of Radar Station Intelligence Based on Asymmetrical Closeness Degree
Aiming at the limits of fuzzy comprehensive evaluation on quality of radar station intelligence in actual training, a method of qual-ity comprehensive evaluation on radar station intelligence based on the theory of asymmetric closeness degree is presented in this paper. First, the evaluating metrics of quality evaluation on radar station intelligence are integrated and refined for six classes?i.e., timeliness, accuracy, availability, objectivity and continuity and so on, and then the corresponding assessing model is selected, for which the factor set?weight set, and comment set are established. Furthermore, compare analysis is used between the maximum membership degree, the Euclidean closeness degree and the asymmetric closeness degree method, to comprehensively evalu-ate the intelligence quality of the radar station. It shows that the asymmetric closeness degree method is more effective to take comprehensive evaluations of a certain quality of radar intelli-gence, and helpful for finding out the factors that determine the quality of the radar intelligence.