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首页> 外文期刊>International Journal of Space-Based and Situated Computing >An intelligent approach for qualified voting in P2P mobile collaborative team: a comparison study for two fuzzy-based systems
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An intelligent approach for qualified voting in P2P mobile collaborative team: a comparison study for two fuzzy-based systems

机译：P2P移动协作团队合格投票的智能方法：两个模糊基础系统的比较研究

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摘要

Mobile computing has many application domains. One important domain is that of mobile applications supporting collaborative work. In a collaborative work, the members of the team have to take decision or solve conflicts in project development and therefore members have to vote. In this work, we present a voting model, that we call qualified voting, in which every member has a voting score according to four parameters: number of activities that member participates (NAMP), number of activities that member successfully finished (NAMSF), number of online discussions that member participated (NODMP), number of activities the member failures (NAMF). Then, we use fuzzy approach to compute a voting score for the member. We present two fuzzy based voting systems (called FPVS1 and FPVS2). The simulation results show that when NAMP, NAMSF and NODMP are high, the voting sore is high, but with increasing of the NAMF, the VS is decreased. Comparing the complexity of FPVS1 and FPVS2, the FPVS2 is more complex than FPVS1, but FPVS2 can select better peers for the collaborative work.
机译：移动计算有许多应用域。一个重要领域是支持协作工作的移动应用程序。在合作工作中，团队成员必须在项目开发中采取决定或解决冲突，因此成员必须投票。在这项工作中，我们提出了一项投票模型，我们称之为合格的投票，其中每个成员根据四个参数投票分数：成员参与的活动数量（Namp），成员成功完成的活动数量（Namsf），成员参与（Nodmp），成员失败的活动数量（NAMF）的在线讨论的数量。然后，我们使用模糊方法来计算成员的投票分数。我们提出了两个基于模糊的投票系统（称为FPVS1和FPVS2）。仿真结果表明，当打击时，Namsf和Nodmp很高时，投票疼痛很高，但随着NAMF的增加，VS减小。比较FPVS1和FPVS2的复杂性，FPVS2比FPVS1更复杂，但FPVS2可以为协作工作选择更好的对等体。

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