{"title":"基于模糊多因素的医疗器械供应商自动决策支持系统","authors":"A. Chaki, T. Chattopadhyay","doi":"10.1109/COASE.2009.5234188","DOIUrl":null,"url":null,"abstract":"Most products are inspected for flaws several times during the manufacturing process. For this purpose, object detection is a very fundamental task in most of the image analysis applications. Most of the existing methods for low-level object detection perform color similarity and histogram similarity based approach in the 2-D image space. In this paper, a multi-factorial based approach has been proposed where the decision taking process involves a fuzzy mechanism based on weighted values of different parameters.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An Automatic decission support system for medical instrument suppliers using fuzzy multifactor based approach\",\"authors\":\"A. Chaki, T. Chattopadhyay\",\"doi\":\"10.1109/COASE.2009.5234188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most products are inspected for flaws several times during the manufacturing process. For this purpose, object detection is a very fundamental task in most of the image analysis applications. Most of the existing methods for low-level object detection perform color similarity and histogram similarity based approach in the 2-D image space. In this paper, a multi-factorial based approach has been proposed where the decision taking process involves a fuzzy mechanism based on weighted values of different parameters.\",\"PeriodicalId\":386046,\"journal\":{\"name\":\"2009 IEEE International Conference on Automation Science and Engineering\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Automation Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COASE.2009.5234188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Automation Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COASE.2009.5234188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Automatic decission support system for medical instrument suppliers using fuzzy multifactor based approach
Most products are inspected for flaws several times during the manufacturing process. For this purpose, object detection is a very fundamental task in most of the image analysis applications. Most of the existing methods for low-level object detection perform color similarity and histogram similarity based approach in the 2-D image space. In this paper, a multi-factorial based approach has been proposed where the decision taking process involves a fuzzy mechanism based on weighted values of different parameters.