{"title":"多准则决策问题的求解方法及决策支持系统","authors":"N. Tontchev, S. Ivanov","doi":"10.1109/IS.2006.348405","DOIUrl":null,"url":null,"abstract":"A visual multiple criteria approach is presented with displacing limitations as well, as the features of the applied software system of MADMML, which is implementing it. That system has been applied in the field of material science to determine the technological modes providing the preset requirements to the values examined. It is investigated that non-dominated (effective) decisions are determined by applying various filters of the system","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Method for Solving Multiple Criteria Decision Making (MCDM) Problems and Decision Support System\",\"authors\":\"N. Tontchev, S. Ivanov\",\"doi\":\"10.1109/IS.2006.348405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A visual multiple criteria approach is presented with displacing limitations as well, as the features of the applied software system of MADMML, which is implementing it. That system has been applied in the field of material science to determine the technological modes providing the preset requirements to the values examined. It is investigated that non-dominated (effective) decisions are determined by applying various filters of the system\",\"PeriodicalId\":116809,\"journal\":{\"name\":\"2006 3rd International IEEE Conference Intelligent Systems\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 3rd International IEEE Conference Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IS.2006.348405\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 3rd International IEEE Conference Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS.2006.348405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Method for Solving Multiple Criteria Decision Making (MCDM) Problems and Decision Support System
A visual multiple criteria approach is presented with displacing limitations as well, as the features of the applied software system of MADMML, which is implementing it. That system has been applied in the field of material science to determine the technological modes providing the preset requirements to the values examined. It is investigated that non-dominated (effective) decisions are determined by applying various filters of the system
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