{"title":"改进的加权因子德尔菲法及其应用","authors":"Wen Ji, Jianhui Wang, Xiaoke Fang, S. Gu","doi":"10.1109/ASCC.2013.6606027","DOIUrl":null,"url":null,"abstract":"In view of long duration, high costs and expert evaluation value with many extreme points of the Delphi method, using the fuzzy method, this paper proposes an improved Delphi method with weighted factor in order to reduce the influence of subjective factors and shorten the consulting time. Then, it applies the improved Delphi method to simulate in the context of stroke rehabilitation evaluation system. Simulation results show the effectiveness of the proposed method.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Improved Delphi method with weighted factor and its application\",\"authors\":\"Wen Ji, Jianhui Wang, Xiaoke Fang, S. Gu\",\"doi\":\"10.1109/ASCC.2013.6606027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of long duration, high costs and expert evaluation value with many extreme points of the Delphi method, using the fuzzy method, this paper proposes an improved Delphi method with weighted factor in order to reduce the influence of subjective factors and shorten the consulting time. Then, it applies the improved Delphi method to simulate in the context of stroke rehabilitation evaluation system. Simulation results show the effectiveness of the proposed method.\",\"PeriodicalId\":6304,\"journal\":{\"name\":\"2013 9th Asian Control Conference (ASCC)\",\"volume\":\"1 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 9th Asian Control Conference (ASCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASCC.2013.6606027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 9th Asian Control Conference (ASCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASCC.2013.6606027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Delphi method with weighted factor and its application
In view of long duration, high costs and expert evaluation value with many extreme points of the Delphi method, using the fuzzy method, this paper proposes an improved Delphi method with weighted factor in order to reduce the influence of subjective factors and shorten the consulting time. Then, it applies the improved Delphi method to simulate in the context of stroke rehabilitation evaluation system. Simulation results show the effectiveness of the proposed method.