# Two-Sided Matching Decision Method of Electricity Sales Package Based on Disappointment Theory
## 5 Conclusions  
In this paper, a two-sided matching decision-making method based on disappointment theory was proposed. Firstly, this method is based on incomplete fuzzy preference relationships, which expands the applicability of recommendations. Secondly, by incorporating the influence of disappointment theory, the accuracy and efficiency of recommendations are improved. Lastly, the goal to maximize the power-users' overall satisfaction with proper choices of electricity sales packages is achieved, which can ensure the optimality and stability of recommendation results. The advantages of the methods proposed are as follows: firstly, the method proposed in the article is based on the incomplete fuzzy preference relationship between power users and electricity sales packages, which can overcome the power users' problem with lacking preference data caused by limited knowledge and different cultural backgrounds; secondly, the two-sided matching decision-making method proposed in this article also incorporates the influence of disappointment theory, which can not only better measure the satisfaction of power users with electricity sales packages, but also help set decision-making goals and greatly improve decision-making efficiency. In addition, by comparing the preference information of two matching objects one by one, this method can greatly reduce the burden in the process of extracting preference information, extract preference information faster and more flexibly, and ensure good recommendation results. At the same time, this method can also promote the development of a low-carbon economy under the background of \"dual carbon\" landing.  
However, the bilateral matching decision-making method proposed in this article also has certain limitations. Firstly, the method was put forward only on the basis of the one-to-one problem without considering one-to-many matching problems. Secondly, the method only applies to the accurate evaluation of electricity sales packages by power users instead of further discussing the fuzzy preference relationships or hesitant preference information that may exist in real life.  
Therefore, the focus of future research will be on addressing the above two shortcomings; the consensus issues and complex preference structure issues of power users will be deeply considered, and further in-depth research on the matching problem between power users and electricity sales packages will be conducted to more accurately and efficiently recommend electricity sales packages.  
Conceptualization, J.R. and Y.M.; methodology, Y.M.; software, Y.W.; validation, J.R., Y.W. and Y.M.; formal analysis, Y.M; investigation, Y.W.; resources, Y.M.; data curation, J.R.; writing--original draft preparation, J.R.; writing--review and editing, J.R.; visualization, J.R.; supervision, Y.M.; project administration, Y.M. All authors have read and agreed to the published version of the manuscript.  
This work was supported by the National Natural Science Foundation of China (No. 72301248). This work was also supported by the Fundamental Research Funds of Zhejiang Sci-Tech University (No. 23222130-Y). This work was also supported by the Natural Science Foundation of Zhejiang Province (No. LQ22E070009).  
Not applicable.  
Data Availability Statement: Data is available on request from the corresponding author.  
The authors declare no conflict of interest.