中文摘要：

针对网构软件信任度量模型缺少自适应性和不能很好地刻画信任关系复杂性和不确定性的问题，提出基于Rough—Fuzzy的网构软件信任度量模型．将Rough—Fuzzy思想引入到对网构软件的信任度量上，并将信息熵理论引入到不同信任属性值的权值计算上，以解决信任属性值计算的不确定性问题．实验表明该度量模型对善意节点和恶意节点的信任度有明显的区分效果，能够抑制恶意节点的信任度增长．并且该模型具有良好的适应性，对于一些信任度量参数，系统可以动态地去调整并且增加或减少信任度量属性，能够很好地适应开放网络环境的动态性特点．

英文摘要：

Specific to characters of trust measurement models for Interuetware that lack adaptability and cannot de- pict complexity and uncertainty of trust relationship, this paper proposes a trust measurement model for Intemetware based on Rough-fuzzy. For solving uncertainty problem of trust property values, this paper brings Rough-fuzzy theo- ry in trust measurement, and put information entropy theory into the weights calculation of different trust property values. Experiment results show that, the measurement model can distinct well-meaning nodes and malicious nodes clearly and inhibit the trust growth of malicious nodes. And this model has a good adaptability. For some trust measurement parameters, system can adjust, increase and decrease them, so that adapt dynamic character of open network environment.