{"title":"分布式交互仿真中评估逼真度的模糊参数辨识方法","authors":"Pamela McCauley Bell","doi":"10.1109/SOUTHC.1996.535088","DOIUrl":null,"url":null,"abstract":"This research provides the methodology for the development of fidelity measures in interactive systems. The methodology, still very much in the developmental stages, uses the fidelity description requirement taxonomy as a starting point and applies fuzzy set theory to qualify and quantify the relationship between simulation environments and referents. A general explanation of the methodology and a partial example are provided.","PeriodicalId":199600,"journal":{"name":"Southcon/96 Conference Record","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A methodology for the identification of fuzzy parameters to evaluate fidelity in distributed interactive simulation\",\"authors\":\"Pamela McCauley Bell\",\"doi\":\"10.1109/SOUTHC.1996.535088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research provides the methodology for the development of fidelity measures in interactive systems. The methodology, still very much in the developmental stages, uses the fidelity description requirement taxonomy as a starting point and applies fuzzy set theory to qualify and quantify the relationship between simulation environments and referents. A general explanation of the methodology and a partial example are provided.\",\"PeriodicalId\":199600,\"journal\":{\"name\":\"Southcon/96 Conference Record\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Southcon/96 Conference Record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOUTHC.1996.535088\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Southcon/96 Conference Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOUTHC.1996.535088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A methodology for the identification of fuzzy parameters to evaluate fidelity in distributed interactive simulation
This research provides the methodology for the development of fidelity measures in interactive systems. The methodology, still very much in the developmental stages, uses the fidelity description requirement taxonomy as a starting point and applies fuzzy set theory to qualify and quantify the relationship between simulation environments and referents. A general explanation of the methodology and a partial example are provided.