基于模糊理论的间接推荐信任传递研究  

Indirect Recommendation Trust Transitivity Study based on Fuzzy Theory

作　　者：龙毅宏[1] 潘丹[1] 

机构地区：[1]武汉理工大学信息工程学院,武汉430070

出　　处：《武汉理工大学学报》2009年第16期114-117,共4页Journal of Wuhan University of Technology

摘　　要：信任关系的建立是网络实体交互的前提和基础。文章针对信任的模糊性,在模糊理论的基础上,提出了一种间接推荐信任传递模型,不仅把模糊逻辑推理同信任传递结合起来,在无直接推荐时利用间接推荐得到实体间的信任值;而且利用图论知识找寻信任路径,解决了多路径信任评估的问题。该模型可以全面地评估实体的信任程度,很大程度上保障了网络实体行为的安全可靠。Trust relationship establishment is fundamental for network entity interaction. According to the fuzziness of trust, this paper proposes an indirect recommendation trust transitivity model based on fuzzy theory. This model not only can gain the trust value between entities which have no direct recommendation by the fuzzy reasoning method, but also solve multi - roads trust evaluation problem by utilizing graph theory to find trust roads. This model can evaluate the entities＇ trustworthiness completely, security and reliability of network entities＇ behavior can be guaranteed greatly.

关 键 词：模糊理论 间接推荐 信任传递 

分 类 号：TP301[自动化与计算机技术—计算机系统结构] TP309[自动化与计算机技术—计算机科学与技术]