• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Intelligent automation and soft computing >Multi agent system-based dynamic trust calculation model and credit management mechanism of online trading
【24h】

Multi agent system-based dynamic trust calculation model and credit management mechanism of online trading

机译：基于多主体系统的网上交易动态信任计算模型与信用管理机制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Now all kinds of malicious acts appear in C2C online auctions, particularly the phenomenon of trust lack and credit fraud is very outstanding. Therefore, how to build an effective trust model has become a burning problem. Based on analyzing limitations of the existing online trust transaction mechanism, and according to characteristics (such as dynamic, innominate and suppositional) of online transaction trust problem, the article proposes a dynamic trust calculation model and reputation management mechanism of online trading based on multi-Agent system. The model consists of three parts. The first part is the trust of user domain, to put importance on the influence on current trust by recent credibility status, to motivate users to adopt an agreed cooperative strategy. The second part is the weighted average of reputation feedback score. The weighted part mainly considers the trust from the reputation feedback score person (the credibility of the feedback score), the value of the transaction (to prevent the "credit squeeze"), temporal discounted ("guard against the fluctuations of the credibility") and other factors. The third part is to give a weighting on the community contribution, according to the action taken by a user to the other members of the community in a time domain, to increase or decrease the user's trust to isolate the feedback submission of the credibility and punish the fraud. The paper builds the fraud limitation mechanism, which combines the prevention beforehand, coordination in the event and punishment afterwards. The mechanism makes the online transaction safe. Theoretic proof and experimental verification indicate the following three problems can be solved effectively: 1) solving the problem, which is difficult to prevent and is that speculative user accumulates the little trusts and squeeze on the large trading; 2) preventing members from cheating by false trading or personation; 3) reducing the arbitration workload of the online business platform.
机译：现在，各种恶意行为都出现在C2C在线拍卖中，尤其是缺乏信任和信用欺诈的现象非常突出。因此，如何建立有效的信任模型已经成为亟待解决的问题。在分析现有在线信任交易机制的局限性的基础上，根据在线交易信任问题的特点（动态，无名和假定），提出了一种基于多交易点的在线交易动态信任计算模型和声誉管理机制。代理系统。该模型包括三个部分。第一部分是用户域的信任，重点是通过最近的信誉状态来重视对当前信任的影响，以激励用户采用公认的合作策略。第二部分是声誉反馈得分的加权平均值。加权部分主要考虑信誉反馈评分者的信任度（反馈评分的可信度），交易的价值（以防止“信贷紧缩”），时间折扣（“防范信誉波动”）和其他因素。第三部分是根据用户在时域中对社区其他成员采取的行动，对社区贡献进行加权，以增加或减少用户的信任度，以隔离反馈意见的可信度并惩罚欺诈。本文建立了欺诈限制机制，将事前防范，事态协调和事后惩罚相结合。该机制使在线交易安全。理论证明和实验验证表明，以下三个问题可以有效解决：1）解决问题，这是难以避免的，是投机用户积累了很少的信任，并挤占了大笔交易。 2）防止会员通过虚假交易或冒充他人作弊； 3）减少在线商务平台的仲裁工作量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号