## 1 Introduction
### Research Status
[PERSON] [15] put forward projection pursuit based on AHP (analytic hierarchy process) to construct an assessment model. Coal-fired electricity replacement, grid losses, and pollutant emissions were considered for regional power grids. [PERSON] et al. [16] analyzed the effects of power grid enterprises from three angles, followed by the generation side, supply side, and demand side, which reflects the dedication of energy saving and emission reduction under different perspectives. [PERSON] [17] researched on the contribution to energy saving and emission reduction not only form power grid enterprises, but upstream companies and downstream users. To evaluate the potential of energy saving and emission reduction for the regional power grid, [PERSON] et al. constructed three types of indicators, including power flow, power supply structure, and technology economy [18]. From the above research status, we can know that the quantitative indicators of energy consumption, wastewater discharge, and exhaust pollutant emissions are often determined to establish the indicator system of the energy saving and emission reduction effects in most previous studies. However, the indicator system established only based on these aspects is the lack of timely interpretation of new policies. The selection of evaluation indicators needs to be further combined with qualitative indicators that are closely related to policies. The evaluation indicator system of the energy saving and emission reduction effects still needs to be improved. These qualitative indicators refer to the difficulty of obtaining accurate data, or need to be considered form several aspects together as a whole, which still reflect the energy saving and emission reduction effects of companies in many ways. For example, the responsiveness to energy planning and market reform, the execution of participation in carbon market construction and the extent to which relevant knowledge is imparted to employees. Simultaneously, research objects of the energy saving and emission reduction effects are concentrated on power technologies or equipments, power plants, and power grid companies. In addition to the above studies, references [19; 20; 21] also explored the energy saving and emission reduction benefits brought by the improvement of coal-fired power plant boilers and steam turbines. Reference [22] analyzed the impact of the application of distributed generation and micro grid technology on the effects of power plants. Reference [23; 24] studied the implementation path of energy saving and emission reduction for power generation companies and the management measures of power grid companies, respectively. While there are few studies on the evaluation in the electricity sales side. Therefore, the scope of evaluation of the energy saving and emission reduction effects needs to be further expanded. The fuzzy comprehensive evaluation method is widely used to assess objects with ambiguity. Reference [25] constructed a model combining fuzzy evaluation with AHP. In [26], the fuzzy evaluation based on ISM-AHP (interpretative structural modelling method and analytic hierarchy process) was applied to build a multi-level hierarchical interpretation structure model for quantitative analysis. Reference [27] combined the fuzzy min-max method with the defuzzified centroid method to establish a logic system. In [28], the improved interval number was used for ANP (analytic network process). On this basis, the fuzzy comprehensive evaluation model was proposed to effectively solve the problem of information loss and data fluctuation. It can be seen that in order to improve the objectivity of this method, a certain number of researches have corrected the weights of indicators by combining different methods.