Jinglan Yu, Rui-juan Yang, Shaohua Luo, Dongjin Li
{"title":"A Multi-function Radio Frequency System Detection Efficiency Evaluation Method Based on Entropy","authors":"Jinglan Yu, Rui-juan Yang, Shaohua Luo, Dongjin Li","doi":"10.1109/ICMCCE.2018.00049","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of cooperative relationship between nodes in the detection efficiency evaluation for multi-function radio frequency system (MFRFS), an improved efficiency evaluation method based on entropy is proposed. Firstly, the information network process model is established when MFRFS performs the detection task, each node is established, the corresponding influencing factors and its membership function are selected. Then the uncertainty of each node under the cooperative relationship is calculated. And finally the detection efficiency evaluation for MFRFS is achieved combining the network complexity factor. The example calculation results show that the evaluation method is suitable for complex MFRFS.","PeriodicalId":198834,"journal":{"name":"2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"3 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.2018.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the problem of cooperative relationship between nodes in the detection efficiency evaluation for multi-function radio frequency system (MFRFS), an improved efficiency evaluation method based on entropy is proposed. Firstly, the information network process model is established when MFRFS performs the detection task, each node is established, the corresponding influencing factors and its membership function are selected. Then the uncertainty of each node under the cooperative relationship is calculated. And finally the detection efficiency evaluation for MFRFS is achieved combining the network complexity factor. The example calculation results show that the evaluation method is suitable for complex MFRFS.