{"title":"Triangular Fuzzy Number Method for Measuring Risk Element Criticality by Credibility Degree in Project Network","authors":"L. Cunbin, W. Jianjun, Li Li, Liu Xueyan","doi":"10.1109/ICRMEM.2008.49","DOIUrl":null,"url":null,"abstract":"A new triangular fuzzy number critical path method was proposed based on linear programming for solving the uncertain project problem. alpha -cut set was used to transfer the fuzzy number to interval number, and a credibility degree was defined so that the total time range and the different critical paths were given by adjusting the credibility degree. Meanwhile, by analyzing the sensitivity coefficient, the control priorities of activities could be acquired. The result shows that compared with traditional probability methods and other related studies, The method can improve the precision of the project time control.","PeriodicalId":430801,"journal":{"name":"2008 International Conference on Risk Management & Engineering Management","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Risk Management & Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRMEM.2008.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A new triangular fuzzy number critical path method was proposed based on linear programming for solving the uncertain project problem. alpha -cut set was used to transfer the fuzzy number to interval number, and a credibility degree was defined so that the total time range and the different critical paths were given by adjusting the credibility degree. Meanwhile, by analyzing the sensitivity coefficient, the control priorities of activities could be acquired. The result shows that compared with traditional probability methods and other related studies, The method can improve the precision of the project time control.