Trust comprehensive evaluation based on the fuzzy inference theory in P2P network

QUAN Yi-ning 1; HU Yu-pu 1; LI Xin-she1

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Trust comprehensive evaluation based on the fuzzy inference theory in P2P network

更新时间：2024-10-14

- Trust comprehensive evaluation based on the fuzzy inference theory in P2P network
- Vol. 30, Issue 8, Pages: 124-130(2009)
- 作者机构：
  
  1. 西安电子科技大学计算机网络与信息安全教育部重点实验室
  2. 西安电子科技大学计算机学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2009
- 稿件说明：
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QUAN Yi-ning 1, HU Yu-pu 1, LI Xin-she1. Trust comprehensive evaluation based on the fuzzy inference theory in P2P network[J]. 2009, 30(8): 124-130.
DOI：

QUAN Yi-ning 1, HU Yu-pu 1, LI Xin-she1. Trust comprehensive evaluation based on the fuzzy inference theory in P2P network[J]. 2009, 30(8): 124-130. DOI：

摘要

针对P2P网络环境下实体之间的信任关系存在模糊性的特点

以模糊推理理论为基础

给出了一种基于信任的模糊命题演算的演绎系统

建立了P2P网络环境下的一种基于三I模糊推理算法的信任推荐和信任评价模型。模型中

对基于信任的多条推荐规则进行了模糊推理

达到对推荐信任的综合评价

从而建立起了一种新的P2P网络环境下信任模型。仿真实验结果表明

该信任模型能够较大程度地提高交易的成功率

可以使得节点之间更加有效地建立信任关系。

Abstract

Aimed at characteristic of ambiguous relationship among entities in P2P network

as foundation of fuzzy inference theory

a fuzzy proposition deduction system was given

also a trust recommendation and comprehensive evaluation model in P2P network based on triple I fuzzy inference algorithm was built. In this model

fuzzy reasoning was on the basis of multiple recommendation rules

it had achieved the comprehensive evaluation of recommendation trust

established a new trust model in P2P network environment. The results of simulation experiment show that this model can increase the success rate of transaction greatly

and make it possible to establish trust relationship between peers more ef-fectively.

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Related Institution

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