{"title":"计算机网络HGF综合评价方法","authors":"Bao-Ping Yan","doi":"10.1109/ICCS.1994.474101","DOIUrl":null,"url":null,"abstract":"One of the main difficulties of evaluating an integrated computer network is the lack of an effective evaluation method. Present network evaluation methods remains almost at the level of qualitative evaluation, because many evaluation elements can not be quantified. An integrated computer network evaluation algorithm is presented. It is based on three mathematical models, and is suitable for the multilevel, multitype and no-definition characteristics of network evaluation. The HGF algorithm is based on the analytic hierarchy process, Grey system theory and fuzzy mathematics.<<ETX>>","PeriodicalId":158681,"journal":{"name":"Proceedings of ICCS '94","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An HGF integrated evaluation method for computer network\",\"authors\":\"Bao-Ping Yan\",\"doi\":\"10.1109/ICCS.1994.474101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the main difficulties of evaluating an integrated computer network is the lack of an effective evaluation method. Present network evaluation methods remains almost at the level of qualitative evaluation, because many evaluation elements can not be quantified. An integrated computer network evaluation algorithm is presented. It is based on three mathematical models, and is suitable for the multilevel, multitype and no-definition characteristics of network evaluation. The HGF algorithm is based on the analytic hierarchy process, Grey system theory and fuzzy mathematics.<<ETX>>\",\"PeriodicalId\":158681,\"journal\":{\"name\":\"Proceedings of ICCS '94\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of ICCS '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS.1994.474101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ICCS '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS.1994.474101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An HGF integrated evaluation method for computer network
One of the main difficulties of evaluating an integrated computer network is the lack of an effective evaluation method. Present network evaluation methods remains almost at the level of qualitative evaluation, because many evaluation elements can not be quantified. An integrated computer network evaluation algorithm is presented. It is based on three mathematical models, and is suitable for the multilevel, multitype and no-definition characteristics of network evaluation. The HGF algorithm is based on the analytic hierarchy process, Grey system theory and fuzzy mathematics.<>