一种支持一致性QoS适度模糊匹配方法

针对目前有关Web 服务QoS 的研究很少考虑到QoS 非功能服务现状，在Web 服务模糊
匹配框架的基础上，从消费者需求的角度出发，通过引入模糊逻辑，提出了一种一致性QoS适度的模糊匹配方法。该方法将消费者的意见进行模糊相似聚类计算，使消费者达到对某个QoS 属性值的一致性认识，然后通过实验对这种方法进行验证。实验表明，该方法在模糊匹配过程中采用了相对客观的QoS 值，能够有效的提高Web 服务的查准率。
关键词：模糊匹配；QoS；Web 服务；模糊聚类
Abstract：Since present researches on QoS of Web service pay little attention to current situation of non-function service of QoS, the study proposes a kind of consistent moderate fuzzy matching methods by introducing fuzzy logic based on fuzzy matching framework of Web service from the perspective of consumers’ requirements. Such method puts consumers’ views into fuzzy similar clustering calculating to make them achieve a coherent realization on a certain Qos value, and then the method is tested by experiments. It is proved that such method, which adopts relatively objective QoS value in the process of fuzzy matching, can effectively raise the precision ratio of Web service.
Keywords: Fuzzy Matchmaking; Quality of Service; Web Service; Fuzzy Clustering