一种带有粗糙集信息量的P2P信任评价模型  

P2P trust evaluation model with amount of information for rough set

作　　者：李杰[1] 

机构地区：[1]安徽师范大学数学计算机科学学院,安徽芜湖241003

出　　处：《计算机工程与应用》2012年第6期90-93,共4页Computer Engineering and Applications

基　　金：安徽省高校省级优秀青年人才基金重点资助项目(No.2009SQRZ026ZD);安徽省教育厅教研项目(No.2007JYXM216)

摘　　要：针对信任的主观性和不确定性,提出一种新的信任评估模型。利用粗糙集中知识的信息量对属性进行约简,并产生出最小约简;同时利用属性的重要性计算出最小约简中每个属性的权值,在此基础上使用模糊秩序法求出交互节点的信任度。实例表明,该模型是行之有效的。With the subjective and uncertainty of trust, a new trust evaluation model is proposed. This model reduces attributes by knowledge amount of information for a rough set, and a minimal reduction set is formed. At the same time, every attribute＇ s weight is computed by using importance of the attribute. On this basis, trust of the interaction peer is evaluated by fuzzy rank order method. The example shows that the model is effective.

关 键 词：P2P网络 信任评价模型 粗糙集 信息量 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]