{"title":"基于蒙特卡罗方法的区间灰数比较","authors":"Xinhai Kong","doi":"10.1109/GSIS.2015.7301831","DOIUrl":null,"url":null,"abstract":"Grey number is the basis of grey system theory, we only know its range, and not the exact value, this number is also known as an interval grey number. Under the distribution information of interval grey numbers are already known, we use the Monte Carlo method to simulate the kernels, as well as the probability of comparing two interval grey numbers. Finally, it was applied to grey decision-making.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparison of interval grey numbers based on the Monte Carlo method\",\"authors\":\"Xinhai Kong\",\"doi\":\"10.1109/GSIS.2015.7301831\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Grey number is the basis of grey system theory, we only know its range, and not the exact value, this number is also known as an interval grey number. Under the distribution information of interval grey numbers are already known, we use the Monte Carlo method to simulate the kernels, as well as the probability of comparing two interval grey numbers. Finally, it was applied to grey decision-making.\",\"PeriodicalId\":246110,\"journal\":{\"name\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2015.7301831\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2015.7301831","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of interval grey numbers based on the Monte Carlo method
Grey number is the basis of grey system theory, we only know its range, and not the exact value, this number is also known as an interval grey number. Under the distribution information of interval grey numbers are already known, we use the Monte Carlo method to simulate the kernels, as well as the probability of comparing two interval grey numbers. Finally, it was applied to grey decision-making.