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构建了基于多影响因素的信任计算模型,以克服拍卖网站中现有的信任计算方法的不足以及传统理论信任模型的局限性。模型中,借鉴了现有的信任研究成果,并结合网上拍卖的特点。引入了成交价格、评分用户信任度、时间权重三项因素。参照累加信任模型,增加了信誉反馈评分、近期信任度两项因素。仿真实验比较了不同规模的恶意用户下,欺诈行为对该模型以及eB ay、Sporas模型的影响。分析和仿真说明,该模型不仅弥补了现有模型的不足,而且有较好的可行性。
A trust computing model based on multiple influencing factors was constructed to overcome the shortcomings of the existing trust computing methods in auction websites and the limitations of traditional theoretical trust models. In the model, draw lessons from the existing trust research results, combined with the characteristics of online auctions. The introduction of the transaction price, rating the user trust, time weight three factors. Reference to cumulative trust model, an increase of credit feedback rating, the recent two factors of trust. The simulation experiments compare the impact of fraud on the model and eBay, Sporas model with malicious users of different sizes. Analysis and simulation show that this model not only makes up for the deficiencies of the existing model, but also has a good feasibility.