{"title":"基于证据理论的多维不确定区间数据可信度评估方法","authors":"Suike Li, Yongchao Zhao, Haijun Wang","doi":"10.1145/3501409.3501511","DOIUrl":null,"url":null,"abstract":"Aiming at the credibility of multi-dimensional uncertain interval data, an evaluation method based on evidence theory is established. Firstly, the subjective probability distribution and calculation method based on evidence theory are given. Then, the description method of evidence theory is introduced into multi-dimensional uncertain interval data to obtain the description of probability distribution. Furthermore, according to the evidential reasoning method, the probability of multi-dimensional uncertain interval data is comprehensively calculated to evaluate the credibility of the data. Finally, an example is given to verify the feasibility and effectiveness of the proposed method","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Credibility Evaluation Method for Multidimensional Uncertain Interval Data based on the Evidence Theory\",\"authors\":\"Suike Li, Yongchao Zhao, Haijun Wang\",\"doi\":\"10.1145/3501409.3501511\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the credibility of multi-dimensional uncertain interval data, an evaluation method based on evidence theory is established. Firstly, the subjective probability distribution and calculation method based on evidence theory are given. Then, the description method of evidence theory is introduced into multi-dimensional uncertain interval data to obtain the description of probability distribution. Furthermore, according to the evidential reasoning method, the probability of multi-dimensional uncertain interval data is comprehensively calculated to evaluate the credibility of the data. Finally, an example is given to verify the feasibility and effectiveness of the proposed method\",\"PeriodicalId\":191106,\"journal\":{\"name\":\"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3501409.3501511\",\"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 the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3501409.3501511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Credibility Evaluation Method for Multidimensional Uncertain Interval Data based on the Evidence Theory
Aiming at the credibility of multi-dimensional uncertain interval data, an evaluation method based on evidence theory is established. Firstly, the subjective probability distribution and calculation method based on evidence theory are given. Then, the description method of evidence theory is introduced into multi-dimensional uncertain interval data to obtain the description of probability distribution. Furthermore, according to the evidential reasoning method, the probability of multi-dimensional uncertain interval data is comprehensively calculated to evaluate the credibility of the data. Finally, an example is given to verify the feasibility and effectiveness of the proposed method