An approach for project risk evaluation based on linguistic assessment information

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.