Title :
An approach for project risk evaluation based on linguistic assessment information
Author :
Jian, Guo ; Chuang-Liang, Jia ; Ai-hua, Li
Author_Institution :
Sch. of Manage. Sci. & Eng., Central Univ. of Finance & Econ., Beijing, China
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.
Keywords :
computational linguistics; decision making; project management; risk management; 2-tuple linguistic; group decision making; multi-granularity linguistic assessment information; project risk evaluation; project risk management; Computational modeling; Decision making; Engineering management; Enterprise resource planning; Failure analysis; Financial management; Information processing; Project management; Risk analysis; Risk management; 2-tuple linguistic representation; group decision-making; multi-granularity; project risk evaluation;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478165
