Social capital selection framework of public-private partnership project of electrochemical storage power station under linguistic environment

Abstract The social capital selection is one of the most important issues in public-private partnership project of electrochemical storage power station. However, two problems reducing the decision-making rationality and accuracy exist in the present multi-criteria decision analysis. First, the existing evaluation index system does not can reflect the technological characteristics of electrochemical storage power station; second, some information distortion and loss are caused by the uncertainty in the evaluation values and the criteria weights. In order to overcome these deficiencies, the innovations of this paper are as follows: ①this paper built a social capital selection evaluation index system specifically targeted at electrochemical storage power station, the results of social capital selection are more in line with the actual needs of power station construction and operation; ② trapezoidal interval type-2 hesitant fuzzy number as the mathematics symbol of linguistic terms are used to established a evaluation model, which can balance the convenience of opinion expression and the accuracy of evaluation value; ③ the maximizing deviations principle was used to handle the interval weights under the linguistic environment, it not only allowed the experts to express subjective weights as possible as they can, but also realized objective weights’ information mining by using the deviations of evaluation data. The aforementioned innovations together constitute a social capital selection framework of electrochemical storage power station. Finally, the effectiveness of decision framework was verified based on a case study of China.