基于约束满足和贝叶斯网络的大规模定制产品配置方法
Mass Customized Product Configuration Method Based on Constraint Satisfaction Problem and Bayesian Networks
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摘要: 针对在产品配置过程中忽略了用户兴趣这一不足,提出了一种基于约束满足问题(constraint satisfaction problem,CSP)与贝叶斯网络(Bayesian network,BN)二者结合的产品配置方法.在CSP与BN的理论基础上,建立了基于CSP与BN的配置模型,给出了求解的具体方法.最后以组装电脑为例,开发了组装电脑产品的配置系统,该系统验证了这种配置方法能对配置结果进行优化,具有一定的可行性和有效性.Abstract: To address the deficiency of ignoring the interests of users in the process of product configuration, a combined product configuration method based on the CSP and Bayesian Network ( BN) was proposed in this paper. On the basis of CSP and BN theory, a product configuration model was established based on CSP and BN, and the specific method of solution was given, to assemble the computer as an example, a configuration system of assembly computer product was developed so as to verify the optimized configuration result, and it shows good feasibility and effectiveness.