{"title":"多阶段识别局部最优策略中的模糊数据","authors":"R. Burduk","doi":"10.1109/CISIM.2007.33","DOIUrl":null,"url":null,"abstract":"The paper deals with the recognition task with a full probabilistic information. In this problem of recognition the Bayesian statistic is applied and multistage recognition is considered. The information on objects features is fuzzy-valued. The decision rules minimize the mean risk, that is the mean value of the zero-one loss function. The probability of misclassification for local optimal strategy and the difference between probability of misclassification for the fuzzy-valued and crisp data are presented. Simple example conclude the work and influence of the width of the fuzzy number on this difference is discussed.","PeriodicalId":350490,"journal":{"name":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy Data in Local Optimal Strategy of Multistage Recognition\",\"authors\":\"R. Burduk\",\"doi\":\"10.1109/CISIM.2007.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with the recognition task with a full probabilistic information. In this problem of recognition the Bayesian statistic is applied and multistage recognition is considered. The information on objects features is fuzzy-valued. The decision rules minimize the mean risk, that is the mean value of the zero-one loss function. The probability of misclassification for local optimal strategy and the difference between probability of misclassification for the fuzzy-valued and crisp data are presented. Simple example conclude the work and influence of the width of the fuzzy number on this difference is discussed.\",\"PeriodicalId\":350490,\"journal\":{\"name\":\"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISIM.2007.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIM.2007.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Data in Local Optimal Strategy of Multistage Recognition
The paper deals with the recognition task with a full probabilistic information. In this problem of recognition the Bayesian statistic is applied and multistage recognition is considered. The information on objects features is fuzzy-valued. The decision rules minimize the mean risk, that is the mean value of the zero-one loss function. The probability of misclassification for local optimal strategy and the difference between probability of misclassification for the fuzzy-valued and crisp data are presented. Simple example conclude the work and influence of the width of the fuzzy number on this difference is discussed.
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