A fuzzy programming approach is used in this article for solving the piece selection problem in P2P network with multiple objectives, in which some of the factors are fuzzy in nature. A piece selection problem has been prepared as a fuzzy mixed integer goal programming piece selection problem that includes three primary goals: minimizing the download cost and download time and maximizing speed and useful information transmission subject to realistic constraints regarding peer's demand, peer's capacity, peer's dynamicity, etc. The proposed approach has the ability to handle practical situations in a fuzzy environment and offers a better decision tool for the piece selection decision in a dynamic P2P network. An extensive simulation is carried out to demonstrate the effectiveness of the proposed model. The proposed mechanism has the capability to handle practical situations in a fuzzy environment and offers a better decision tool for the piece selection decision in a decentralized P2P network.

中文翻译：

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基于模糊规划方法的P2P内容分配网络选件问题有效框架

本文采用模糊规划的方法来解决多目标P2P网络中的件选择问题，其中一些因素本质上是模糊的。已经准备了一个工件选择问题作为模糊混合整数目标编程的工件选择问题，该问题包括三个主要目标：最小化下载成本和下载时间，并最大化速度和有用的信息传输，但要遵循有关对等方的需求，对等方的能力，对等方的动态性的实际约束所提出的方法具有在模糊环境中处理实际情况的能力，并为动态P2P网络中的工件选择决策提供了更好的决策工具。进行了广泛的仿真，以证明所提出模型的有效性。