{"title":"粗糙综合评价法的应用","authors":"L. Wenjun","doi":"10.1109/APWCS.2010.109","DOIUrl":null,"url":null,"abstract":"Firstly, the authors generalize the indiscernible relation to similarity relation, give a definition of $\\lambda$-discernibility matrix; secondly, according to the properties of $\\lambda$-discernibility matrix, an algorithm of computing significance of each condition attribute is put forward; thirdly, we give the comprehensive weight of each attribute according to subjective and objective weight; at last, the reasonable and available of this algorithm is accounted for through an example.","PeriodicalId":354322,"journal":{"name":"2010 Asia-Pacific Conference on Wearable Computing Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Application of Rough Comprehensive Evaluation Method\",\"authors\":\"L. Wenjun\",\"doi\":\"10.1109/APWCS.2010.109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Firstly, the authors generalize the indiscernible relation to similarity relation, give a definition of $\\\\lambda$-discernibility matrix; secondly, according to the properties of $\\\\lambda$-discernibility matrix, an algorithm of computing significance of each condition attribute is put forward; thirdly, we give the comprehensive weight of each attribute according to subjective and objective weight; at last, the reasonable and available of this algorithm is accounted for through an example.\",\"PeriodicalId\":354322,\"journal\":{\"name\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWCS.2010.109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Asia-Pacific Conference on Wearable Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWCS.2010.109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Application of Rough Comprehensive Evaluation Method
Firstly, the authors generalize the indiscernible relation to similarity relation, give a definition of $\lambda$-discernibility matrix; secondly, according to the properties of $\lambda$-discernibility matrix, an algorithm of computing significance of each condition attribute is put forward; thirdly, we give the comprehensive weight of each attribute according to subjective and objective weight; at last, the reasonable and available of this algorithm is accounted for through an example.