{"title":"多准则偏好向量法(PVM)作为支持决策过程的工具","authors":"K. Nermend","doi":"10.5604/01.3001.0014.1706","DOIUrl":null,"url":null,"abstract":"The paper presents the theoretical foundations of Preference Vector Method (PVM). It is the development of methods used by the Polish school and can be used in the decision making process. The ranking of objects according to a decision-maker preferences is performed on the basis of a combination of two methods for construction aggregate measures: Hellwig method, in which the Euclidean distance is used and the vector measures construction method (VMCM), which uses a vector projection.\n\n","PeriodicalId":357447,"journal":{"name":"Przegląd Statystyczny","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Criteria Preference Vector Method (PVM) as a Tool Supporting the Decision Making Process\",\"authors\":\"K. Nermend\",\"doi\":\"10.5604/01.3001.0014.1706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the theoretical foundations of Preference Vector Method (PVM). It is the development of methods used by the Polish school and can be used in the decision making process. The ranking of objects according to a decision-maker preferences is performed on the basis of a combination of two methods for construction aggregate measures: Hellwig method, in which the Euclidean distance is used and the vector measures construction method (VMCM), which uses a vector projection.\\n\\n\",\"PeriodicalId\":357447,\"journal\":{\"name\":\"Przegląd Statystyczny\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Przegląd Statystyczny\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/01.3001.0014.1706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Przegląd Statystyczny","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0014.1706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Criteria Preference Vector Method (PVM) as a Tool Supporting the Decision Making Process
The paper presents the theoretical foundations of Preference Vector Method (PVM). It is the development of methods used by the Polish school and can be used in the decision making process. The ranking of objects according to a decision-maker preferences is performed on the basis of a combination of two methods for construction aggregate measures: Hellwig method, in which the Euclidean distance is used and the vector measures construction method (VMCM), which uses a vector projection.
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