{"title":"基于直觉模糊集理论的目标识别","authors":"Dongfeng Chen, J. Jiao, Hui Liu","doi":"10.1109/CMSP.2011.107","DOIUrl":null,"url":null,"abstract":"The observation collected by sensors in target recognition system may be fuzzy and conflict. Aimed at this problem, a technique based on intuitionistic fuzzy multiple attribute decision-making is proposed. Firstly,the possible degree for intuitionistic fuzzy sets is defined, and a method on ordering for IFSs is proposed. Secondly,IFS is used to represent the fuzzy measurement information of object characteristics, and the model of target recognition is constructed, also a multiple attribute decision-making method based on ordered weighted geometric averaging is proposed. Finally, the recognizing instances get into investigation. The experiments show that the proposed method is correct and effective; also it can be programmed easily and applied widely.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Target Recognition Based on Intuitionistic Fuzzy Sets Theory\",\"authors\":\"Dongfeng Chen, J. Jiao, Hui Liu\",\"doi\":\"10.1109/CMSP.2011.107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The observation collected by sensors in target recognition system may be fuzzy and conflict. Aimed at this problem, a technique based on intuitionistic fuzzy multiple attribute decision-making is proposed. Firstly,the possible degree for intuitionistic fuzzy sets is defined, and a method on ordering for IFSs is proposed. Secondly,IFS is used to represent the fuzzy measurement information of object characteristics, and the model of target recognition is constructed, also a multiple attribute decision-making method based on ordered weighted geometric averaging is proposed. Finally, the recognizing instances get into investigation. The experiments show that the proposed method is correct and effective; also it can be programmed easily and applied widely.\",\"PeriodicalId\":309902,\"journal\":{\"name\":\"2011 International Conference on Multimedia and Signal Processing\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Multimedia and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMSP.2011.107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Multimedia and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMSP.2011.107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Target Recognition Based on Intuitionistic Fuzzy Sets Theory
The observation collected by sensors in target recognition system may be fuzzy and conflict. Aimed at this problem, a technique based on intuitionistic fuzzy multiple attribute decision-making is proposed. Firstly,the possible degree for intuitionistic fuzzy sets is defined, and a method on ordering for IFSs is proposed. Secondly,IFS is used to represent the fuzzy measurement information of object characteristics, and the model of target recognition is constructed, also a multiple attribute decision-making method based on ordered weighted geometric averaging is proposed. Finally, the recognizing instances get into investigation. The experiments show that the proposed method is correct and effective; also it can be programmed easily and applied widely.
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