{"title":"一种衡量共识的新方法","authors":"J. Alcantud, R. D. A. Calle","doi":"10.1109/ISKE.2010.5680853","DOIUrl":null,"url":null,"abstract":"In some group decision making problems of real life not only is significant to rank the alternatives but it also is important to measure how much consensus this solution conveys to the group. Due to this fact, in this work we propose a new methodology to measure the degree of consensus obtained by a group decision making process. To develop that approach, we define a class of consensus measures based on particular social rules. Some of their basic properties are proved too.","PeriodicalId":6417,"journal":{"name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","volume":"87 1","pages":"365-370"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new methodology to measure consensus\",\"authors\":\"J. Alcantud, R. D. A. Calle\",\"doi\":\"10.1109/ISKE.2010.5680853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In some group decision making problems of real life not only is significant to rank the alternatives but it also is important to measure how much consensus this solution conveys to the group. Due to this fact, in this work we propose a new methodology to measure the degree of consensus obtained by a group decision making process. To develop that approach, we define a class of consensus measures based on particular social rules. Some of their basic properties are proved too.\",\"PeriodicalId\":6417,\"journal\":{\"name\":\"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering\",\"volume\":\"87 1\",\"pages\":\"365-370\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISKE.2010.5680853\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2010.5680853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In some group decision making problems of real life not only is significant to rank the alternatives but it also is important to measure how much consensus this solution conveys to the group. Due to this fact, in this work we propose a new methodology to measure the degree of consensus obtained by a group decision making process. To develop that approach, we define a class of consensus measures based on particular social rules. Some of their basic properties are proved too.