## 7 Conclusions  
In this paper, firstly, we discuss the research vacancy at home and abroad on the evaluation of energy saving and emission reduction effects in China's electricity industry. On the basis, electricity retailers emerged on the sales market are treated as the research objects. Then, key indicators are screened to construct the corresponding evaluation indicator system by interpreting the multi-party policy documents that are related to the electric power reform, energy transformation, and carbon  
Figure 5: Radar chart of energy saving and emission reduction effects of the five electricity retailers. Figure 6: Evaluation scores of energy saving and emission reduction effects of the 5 electricity retailers. market construction. Secondly, AHP and entropy weight method are grouped together to obtain the modified weights of indicators and the model is established based on fuzzy comprehensive evaluation theory. Thirdly, the multi-level fuzzy comprehensive evaluation of energy saving and emission reduction effects for electricity retailers is conducted in accordance with the principle of maximum membership degree, a total number of five levels are reserved for the effects, including Excellent, Good, Moderate, Poor, and Extremely poor. Through the single-level fuzzy comprehensive evaluation, the energy saving, and emission reduction effects for electricity retailers in five aspects of market transactions, technical means, integrated energy services, management system, and social responsibilities are obtained. Through the two-level fuzzy comprehensive evaluation, the overall evaluation level is determined. Then, the energy saving and emission reduction effects for electricity retailers is sorted by quantifying the evaluation levels. The results of example analysis show that the method applied to the evaluation of energy saving and emission reduction effects for electricity retailers in China can fit the characteristics of the evaluation indicators with a good performance. At the same time, it can also draw a reasonable evaluation result. The main research findings of this paper are as follows:  
1. Choose the emerged electricity retailers as evaluation objects and take the qualitative factors of policies into consideration in the process of constructing the indicator system. Therefore, the indicator system that is proposed in this paper can better reflect the specific impact of the new electric power reform, energy planning and transformation, and the carbon market construction on China's current energy saving and emission reduction actions in the electricity sales side. In a word, it enlarges the research scope for market players in China's electricity sales side on the evaluation of energy saving and emission reduction effects and it improves the totality of the existing evaluation indicator system in the electric power industry. 2. Apply the fuzzy combination weighting method into the evaluation of energy saving and emission reduction effects for electricity retailers. The weights of indicators given by combining AHP and entropy weight method are more comprehensive, accurate, and scientific. Moreover, qualitative indicators can be reasonably quantified through the multi-level fuzzy comprehensive evaluation, which helps to provide a valid method for electricity retailers that are actively involved in the current electricity sales market in China to assess the effects. Therefore, it gives the reference point for electricity retailers in China to realize the sustainable development in the sales side effectively by means of taking timely and appropriate actions on energy saving and emission reduction, implementing the concept of low carbon electricity to improve their core competitiveness. We will focus our future research on the following points:
1.