## 1 Introduction
[12] constructed and analyzed a pricing strategy for recyclers based on a Stackelberg game model under EPR regulations, and the results showed that when the government is not the decision maker, the optimal product price of producers does not change under different strategies. They focused on three different closed-loop supply chain (CLSC) structures and different consumer categories. The authors of [13; 14] studied competition and cooperation between producers and reproducers and investigated a circular game model of patents and carbon emissions. Figure 1: Material circulation in the manufacturing and recycling process of household appliances. They discussed the impact of various policies and environmental factors on the decision making of supply chain system members. In China, there is a high production capacity for household appliances. Due to the longer lifespan of appliances and the rapid pace of product upgrades, the occurrence of reuse is relatively limited among Chinese consumers. As a result, the value assessment during the recycling process becomes even more critical, as the majority of waste household appliances are reprocessed through recycling methods. Although there is a growing emphasis on the replacement of old appliances with new ones in current policies, there is still a long way to go in terms of transitioning from the recycling stage to the reuse stage for waste household appliances. Therefore, conducting value assessment before the recycling process holds greater practical significance in terms of application and promotion. Consequently, the datasets used in our study specifically focus on the recycling scenario. During recycling, appliances are dismantled and crushed to recover materials, and the value of these materials remains relatively stable, making it feasible to obtain reasonably accurate estimates of material values. However, there are still relatively few studies on the evaluation of household appliance recycling. The evaluation of each stage in the recycling chain is of considerable significance. For example, it helps to formulate reasonable pricing strategies, ensuring the profitability of recycling enterprises and providing more fair and reasonable prices for consumers. Moreover, it is helpful to find potential optimization space, such as by exploring more efficient recycling methods, reducing recycling costs, and improving recycling efficiency, thereby enhancing the efficiency of the entire recycling chain. Accurate evaluation methods are also beneficial for the discovery of potential economic benefits during the recycling process, attracting more enterprises and personnel to participate in recycling activities and promoting the effective recovery and utilization of resources. [PERSON] et al. compiled five short articles that focus on value assessment and pricing capabilities, bridging the gap between marketing, pricing, and strategic research [15]. [PERSON] et al. [16] proposed a fuzzy neural network-based evaluation model for the problem of accurate pricing in the process of recycling waste mobile phones. However, this model cannot be effectively applied to household appliance recycling due to differences in recycling mechanisms between mobile phones and household appliances. [PERSON] et al. [17] proposed an attribute classification modeling method for electronic product evaluation. This method divides the attributes of electronic products into standard value, basic value, and depreciation value. However, the article did not provide a calculation method for the classified values. [PERSON] et al. [18] estimated components of recyclable precious metals and rare-earth elements from waste