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.
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