{"title":"可能性多变量分析","authors":"Hideo Tanaka","doi":"10.1109/FUZZY.1995.409965","DOIUrl":null,"url":null,"abstract":"This paper deals with possibility multivariate analysis based on possibility distributions such as possibility regression analysis, possibility discriminant analysis and possibility portfolio selection. Possibility distributions depend on importance grades of data given by an expert whereas probability distributions depend on the frequency of occurrences. Thus, possibility is more predictive in nature than the concept of probability.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"233 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Possibility multivariate analysis\",\"authors\":\"Hideo Tanaka\",\"doi\":\"10.1109/FUZZY.1995.409965\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with possibility multivariate analysis based on possibility distributions such as possibility regression analysis, possibility discriminant analysis and possibility portfolio selection. Possibility distributions depend on importance grades of data given by an expert whereas probability distributions depend on the frequency of occurrences. Thus, possibility is more predictive in nature than the concept of probability.<<ETX>>\",\"PeriodicalId\":150477,\"journal\":{\"name\":\"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.\",\"volume\":\"233 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1995.409965\",\"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 1995 IEEE International Conference on Fuzzy Systems.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1995.409965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper deals with possibility multivariate analysis based on possibility distributions such as possibility regression analysis, possibility discriminant analysis and possibility portfolio selection. Possibility distributions depend on importance grades of data given by an expert whereas probability distributions depend on the frequency of occurrences. Thus, possibility is more predictive in nature than the concept of probability.<>