中文摘要：

针对现有的Web服务发现机制存在的不足,提出了基于分布式聚类的不确定性Web服务发现方法。该方法为了提高服务检索效率,在分布式网络下对Web服务实现聚类,同时为了克服现有服务质量度量方法的主观性,实现了不确定性服务质量情况下的多属性决策的二次查找。通过实验结果分析证明了相比传统服务发现策略在保证服务质量和检索效率方面有明显提高。

英文摘要：

Aiming at the deficiency of existed web service discovery mechaism, web services discovery method of uncertainty based on distrituted clustering is proposed. In order to improve the efficiency of service retrieval, clustering on Web services in peer-to-peer network is realized. Meanwhile, aims to overcome the subjectivity on the existed measurement of service quality, secondary lookup of multiattribute decision-making under this circumstance of uncertainty is achieved. Based on the experimental analysis proves the method compared with traditional service discovery strategy has obvious improvement in aspect of ensureing quality of service and retrieval efficiency.