{"title":"从任意统计区间构造模糊数","authors":"Kingsley Adjenughwure, B. Papadopoulos","doi":"10.1109/EAIS.2018.8397171","DOIUrl":null,"url":null,"abstract":"We show a simple method to construct a fuzzy number from an arbitrary statistical interval around the mean (or central value) of a sample while considering the uncertainty in the assumed distribution. Furthermore, we discuss its relationship with probability-possibility transformations and fuzzy estimators. Finally, we suggest some possible applications in evolving information systems of the proposed fuzzy number and other fuzzy numbers which can be constructed from well-known statistical intervals.","PeriodicalId":368737,"journal":{"name":"2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Constructing fuzzy numbers from arbitrary statistical intervals\",\"authors\":\"Kingsley Adjenughwure, B. Papadopoulos\",\"doi\":\"10.1109/EAIS.2018.8397171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We show a simple method to construct a fuzzy number from an arbitrary statistical interval around the mean (or central value) of a sample while considering the uncertainty in the assumed distribution. Furthermore, we discuss its relationship with probability-possibility transformations and fuzzy estimators. Finally, we suggest some possible applications in evolving information systems of the proposed fuzzy number and other fuzzy numbers which can be constructed from well-known statistical intervals.\",\"PeriodicalId\":368737,\"journal\":{\"name\":\"2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EAIS.2018.8397171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EAIS.2018.8397171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constructing fuzzy numbers from arbitrary statistical intervals
We show a simple method to construct a fuzzy number from an arbitrary statistical interval around the mean (or central value) of a sample while considering the uncertainty in the assumed distribution. Furthermore, we discuss its relationship with probability-possibility transformations and fuzzy estimators. Finally, we suggest some possible applications in evolving information systems of the proposed fuzzy number and other fuzzy numbers which can be constructed from well-known statistical intervals.