{"title":"均匀入射度及其性质","authors":"Yong Wei, Kefang Zeng","doi":"10.1109/GSIS.2017.8077678","DOIUrl":null,"url":null,"abstract":"The concept of uniform incidence degree is given in the paper. It is proved that the uniform incidence degree and similarity incidence degree are disjoint. The conversion methods between them, how to construct uniform incidence degree by similarity incidence degree, how to construct similarity incidence degree by uniform incidence degree are discussed in the paper.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uniform incidence degree and its properties\",\"authors\":\"Yong Wei, Kefang Zeng\",\"doi\":\"10.1109/GSIS.2017.8077678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of uniform incidence degree is given in the paper. It is proved that the uniform incidence degree and similarity incidence degree are disjoint. The conversion methods between them, how to construct uniform incidence degree by similarity incidence degree, how to construct similarity incidence degree by uniform incidence degree are discussed in the paper.\",\"PeriodicalId\":425920,\"journal\":{\"name\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2017.8077678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2017.8077678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The concept of uniform incidence degree is given in the paper. It is proved that the uniform incidence degree and similarity incidence degree are disjoint. The conversion methods between them, how to construct uniform incidence degree by similarity incidence degree, how to construct similarity incidence degree by uniform incidence degree are discussed in the paper.