{"title":"D-S证据理论在电子政务评估结果不确定性中的应用","authors":"Bing Xia, Heng Pan, Qiusheng Zheng, Fengjun Miao","doi":"10.1109/WISA.2010.34","DOIUrl":null,"url":null,"abstract":"How to solve uncertainty of assessment result is an important issue in E-government. Current qualitative assessment are based on subjective qualitative evaluation and the rigid division of the quantitative data, however both methods are less objective, precise and impartiality, as a result cause accuracy of assessment poorly. D-S Evidence theory is fit for processing the subjective judgment and synthesizing the uncertain knowledge. So, this theory is applied to the uncertainty of assessment results. Firstly used the classic 2/8 rule to build a dynamic contribution matrix. Then after weighted and normalized, we got a basic probability assignment MASS matrix. Final chosen one of the largest number of synthetic probability as assessment result. The algorithm has a strong versatility and an example is used to demonstrate its effectively in this text.","PeriodicalId":122827,"journal":{"name":"2010 Seventh Web Information Systems and Applications Conference","volume":"304 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of D-S Evidence Theory to Uncertainty of Assessment Result in E-government\",\"authors\":\"Bing Xia, Heng Pan, Qiusheng Zheng, Fengjun Miao\",\"doi\":\"10.1109/WISA.2010.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How to solve uncertainty of assessment result is an important issue in E-government. Current qualitative assessment are based on subjective qualitative evaluation and the rigid division of the quantitative data, however both methods are less objective, precise and impartiality, as a result cause accuracy of assessment poorly. D-S Evidence theory is fit for processing the subjective judgment and synthesizing the uncertain knowledge. So, this theory is applied to the uncertainty of assessment results. Firstly used the classic 2/8 rule to build a dynamic contribution matrix. Then after weighted and normalized, we got a basic probability assignment MASS matrix. Final chosen one of the largest number of synthetic probability as assessment result. The algorithm has a strong versatility and an example is used to demonstrate its effectively in this text.\",\"PeriodicalId\":122827,\"journal\":{\"name\":\"2010 Seventh Web Information Systems and Applications Conference\",\"volume\":\"304 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Seventh Web Information Systems and Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISA.2010.34\",\"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 Seventh Web Information Systems and Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISA.2010.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of D-S Evidence Theory to Uncertainty of Assessment Result in E-government
How to solve uncertainty of assessment result is an important issue in E-government. Current qualitative assessment are based on subjective qualitative evaluation and the rigid division of the quantitative data, however both methods are less objective, precise and impartiality, as a result cause accuracy of assessment poorly. D-S Evidence theory is fit for processing the subjective judgment and synthesizing the uncertain knowledge. So, this theory is applied to the uncertainty of assessment results. Firstly used the classic 2/8 rule to build a dynamic contribution matrix. Then after weighted and normalized, we got a basic probability assignment MASS matrix. Final chosen one of the largest number of synthetic probability as assessment result. The algorithm has a strong versatility and an example is used to demonstrate its effectively in this text.