融合自动学习的电子商务决策模型

An E-commerce Decision Model Incorporating Automatic Learning

在自动学习中,电子商务决策需要依据一段时间内的数据变化来判断.基于此,将自动学习算法引入到电子商务决策问题中,提出了融合自动学习的电子商务决策模型(Automatic learning of ecommerce decision model,ALEDM).首先对构成决策问题的各因素建立电子商务决策模型,计算权重向量并做一致性校验.最后通过实验结果表明:文中建立的模型能够在电子商务的交易过程中有效改善准确度与可靠性,能够使买家避免恶意交易.

In automatic learning,e-commerce decisions need to be judged based on data changes over a period of time.Based'on this,the automatic learning algorithm is introduced into the decision-making problem of e-commerce,and an automatic learning of e-commerce decision model is proposed.Firstly,an electronic commerce decision model is established for each factor that constitutes the decision-making problem,and the weight vector is calculated and the consistency check is made.Finally,the experimental results show that the model established in this paper can effectively improve the accuracy and reliability of e-commerce transactions,and enable buyers to avoid malicious transactions.