{"title":"一种新的直觉模糊集散度测度及其在医学诊断中的应用","authors":"Shikha Maheshwari, Amit Srivastava","doi":"10.1109/ICSPCOM.2015.7150638","DOIUrl":null,"url":null,"abstract":"In the present work, a new divergence measure for intuitionistic fuzzy set is proposed and stated its properties with proof. Further, it is also shown in detail the efficiency, utility and feasibility of the proposed measure of divergence by using a real life case study of medical diagnosis.","PeriodicalId":318875,"journal":{"name":"2015 International Conference on Signal Processing and Communication (ICSC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A new divergence measure for intuitionistic fuzzy sets and its application in medical diagnosis\",\"authors\":\"Shikha Maheshwari, Amit Srivastava\",\"doi\":\"10.1109/ICSPCOM.2015.7150638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present work, a new divergence measure for intuitionistic fuzzy set is proposed and stated its properties with proof. Further, it is also shown in detail the efficiency, utility and feasibility of the proposed measure of divergence by using a real life case study of medical diagnosis.\",\"PeriodicalId\":318875,\"journal\":{\"name\":\"2015 International Conference on Signal Processing and Communication (ICSC)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Signal Processing and Communication (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCOM.2015.7150638\",\"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 International Conference on Signal Processing and Communication (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCOM.2015.7150638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new divergence measure for intuitionistic fuzzy sets and its application in medical diagnosis
In the present work, a new divergence measure for intuitionistic fuzzy set is proposed and stated its properties with proof. Further, it is also shown in detail the efficiency, utility and feasibility of the proposed measure of divergence by using a real life case study of medical diagnosis.