{"title":"基于标准差算子的区间模糊数相似性度量","authors":"Shi-Jay Chen, Hsiao-Wei Kao","doi":"10.1109/ICEIE.2010.5559801","DOIUrl":null,"url":null,"abstract":"This study suggested a new similarity measured method that based on the standard deviation operator to solve before similarity measurement between interval-valued fuzzy numbers, and 15 sets of interval-valued fuzzy numbers are adopted to compare the proposed method with existing similarity measures. The results of the comparison indicate the proposed is better than existing methods.","PeriodicalId":211301,"journal":{"name":"2010 International Conference on Electronics and Information Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Measure of similarity between interval-valued fuzzy numbers based on standard deviation operator\",\"authors\":\"Shi-Jay Chen, Hsiao-Wei Kao\",\"doi\":\"10.1109/ICEIE.2010.5559801\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study suggested a new similarity measured method that based on the standard deviation operator to solve before similarity measurement between interval-valued fuzzy numbers, and 15 sets of interval-valued fuzzy numbers are adopted to compare the proposed method with existing similarity measures. The results of the comparison indicate the proposed is better than existing methods.\",\"PeriodicalId\":211301,\"journal\":{\"name\":\"2010 International Conference on Electronics and Information Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Electronics and Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEIE.2010.5559801\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Electronics and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIE.2010.5559801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measure of similarity between interval-valued fuzzy numbers based on standard deviation operator
This study suggested a new similarity measured method that based on the standard deviation operator to solve before similarity measurement between interval-valued fuzzy numbers, and 15 sets of interval-valued fuzzy numbers are adopted to compare the proposed method with existing similarity measures. The results of the comparison indicate the proposed is better than existing methods.