Chongqing College of International Business and Economics, Chongqing 401520, China
| Abstract: | Against the background of the digital economy, the conventional matching strategy of supply and demand is unable to meet the requirements of matching supply and demand industrial interconnection with digitalization as the core element. To solve the trust problem of supply and demand matching contract of digital industrial interconnection, a decision-making framework of supply and demand matching of industrial interconnection based on smart contract is proposed. Based on the massive resource data, a resource characteristic attribute matrix is constructed, and the Fuzzy C-Means algorithm is used to classify and reduce the dimension of massive resource data. Based on the attribute expectation of supply and demand, the objective function with maximum satisfaction is created to realise bidirectional matching. Finally, the effectiveness of the proposed method is demonstrated by an example. |
| Keywords: | Digital Economy; Industrial Interconnection; Smart Contract; Fuzzy C-Means Algorithm; Two-Sided Matching |
| DOI: | 10.57237/j.jsts.2025.01.002 |
| 1. | Natural Science Project of Chongqing College of International Business and Economics (KYZK202306) |
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