Method for Risk Evaluation of High-Technology with 2-Tuple Linguistic Information

A new method is proposed to solve multiple attribute group decision making problems with linguistic assessment information. In the method, the two-tuple linguistic representation developed in recent years is used to aggregate the linguistic assessment information. According to the traditional ideas of technique for order preference by similarity to ideal solution (TOPSIS), the optimal alternative(s) is determined by calculating the shortest distance from the two-tuple linguistic positive ideal solution (TLPIS). The method has exact characteristic in linguistic information processing. It avoided information distortion and losing which occur formerly in the linguistic information processing. Finally, a numerical example is used to illustrate the use of the proposed method. The result shows the approach is simple, effective and easy to calculate.