{"title":"不精确的概率和专家预测","authors":"C. Wagner","doi":"10.1109/TAI.1994.346430","DOIUrl":null,"url":null,"abstract":"Evidence is often insufficient to support the assessment of precise probabilities. Shifting to vaguer measures of uncertainty, such as upper and lower probabilities, does not deprive one of the key analytical tools of classical probability. Two approaches to the calculation of upper and lower expected values are described and contrasted in the case of forecasting production costs of an electric utility. Conditionalization of imprecise probabilities is also discussed.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Imprecise probability and expert forecasting\",\"authors\":\"C. Wagner\",\"doi\":\"10.1109/TAI.1994.346430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evidence is often insufficient to support the assessment of precise probabilities. Shifting to vaguer measures of uncertainty, such as upper and lower probabilities, does not deprive one of the key analytical tools of classical probability. Two approaches to the calculation of upper and lower expected values are described and contrasted in the case of forecasting production costs of an electric utility. Conditionalization of imprecise probabilities is also discussed.<<ETX>>\",\"PeriodicalId\":262014,\"journal\":{\"name\":\"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1994.346430\",\"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 Sixth International Conference on Tools with Artificial Intelligence. TAI 94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1994.346430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evidence is often insufficient to support the assessment of precise probabilities. Shifting to vaguer measures of uncertainty, such as upper and lower probabilities, does not deprive one of the key analytical tools of classical probability. Two approaches to the calculation of upper and lower expected values are described and contrasted in the case of forecasting production costs of an electric utility. Conditionalization of imprecise probabilities is also discussed.<>