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- W4387607435 abstract "Credit cards are a rule by which banks rate their customers. Different credit scoring cards have different thresholds, corresponding to different pass rates and bad debt rates, which have a crucial impact on the bank's revenue. To help banks choose the best combination of credit scoring cards, so as to maximize revenue. Based on the triple credit card combination strategy of the bank, this paper establishes a mathematical programming model for solving the optimal combination. Aiming at the particularity of the binary decision variables, a constraint method is proposed to transform the quartic and quartic terms in the model into quadratic terms. Then, in order to balance the relationship between the objective function and the constraint conditions, the weighted penalty coefficient is further introduced by combining the entropy weight method. The model is transformed into QUBO(quadratic unconstrained binary optimization) model, and then combined with the bank's credit score card data, the optimal combination is solved by quantum annealing algorithm and verified by experiment. The experimental results show that this method has high precision and strong applicability in solving combinatorial optimization problems." @default.
- W4387607435 created "2023-10-14" @default.
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- W4387607435 date "2023-10-09" @default.
- W4387607435 modified "2023-10-14" @default.
- W4387607435 title "Application of QUBO model in credit score card combination optimization" @default.
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- W4387607435 doi "https://doi.org/10.54097/hset.v68i.12092" @default.
- W4387607435 hasPublicationYear "2023" @default.
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