{"title":"An approach for project risk evaluation based on linguistic assessment information","authors":"Guo Jian, Jia Chuang-liang, L. Ai-hua","doi":"10.1109/ICIME.2010.5478165","DOIUrl":null,"url":null,"abstract":"Project risk evaluation is the basis of project risk management, and it is the sticking point of the successful project implementation. In this paper, a group decision making approach based on multi-granularity linguistic assessment information is used to evaluate the project risk. The linguistic 2-tuple representation model and computing model are taken for dealing with multi-granular linguistic assessment information. Firstly, the experts linguistic assessment information is represented in the form of 2-tuple. Secondly, the basic linguistic term set is chosen from multi-granularity, linguistic term sets and the computational formulae are given to uniform the multi-granular linguistic assessment information into the normalized representation of the 2-tuple linguistic. Then, the experts' weights in each attribute are obtained, and the group evaluation results of the project risk are determined according to an optimization model. Finally, a numerical example of ERP project illustrates the effectiveness of the proposed approach.","PeriodicalId":382705,"journal":{"name":"2010 2nd IEEE International Conference on Information Management and Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd IEEE International Conference on Information Management and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIME.2010.5478165","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
Project risk evaluation is the basis of project risk management, and it is the sticking point of the successful project implementation. In this paper, a group decision making approach based on multi-granularity linguistic assessment information is used to evaluate the project risk. The linguistic 2-tuple representation model and computing model are taken for dealing with multi-granular linguistic assessment information. Firstly, the experts linguistic assessment information is represented in the form of 2-tuple. Secondly, the basic linguistic term set is chosen from multi-granularity, linguistic term sets and the computational formulae are given to uniform the multi-granular linguistic assessment information into the normalized representation of the 2-tuple linguistic. Then, the experts' weights in each attribute are obtained, and the group evaluation results of the project risk are determined according to an optimization model. Finally, a numerical example of ERP project illustrates the effectiveness of the proposed approach.