針對目前有關(guān)Web 服務(wù)QoS 的研究很少考慮到QoS 非功能服務(wù)現(xiàn)狀，在Web 服務(wù)模糊
匹配框架的基礎(chǔ)上，從消費者需求的角度出發(fā)，通過引入模糊邏輯，提出了一種一致性QoS適度的模糊匹配方法。該方法將消費者的意見進行模糊相似聚類計算，使消費者達到對某個QoS 屬性值的一致性認識，然后通過實驗對這種方法進行驗證。實驗表明，該方法在模糊匹配過程中采用了相對客觀的QoS 值，能夠有效的提高Web 服務(wù)的查準(zhǔn)率。
關(guān)鍵詞：模糊匹配；QoS；Web 服務(wù)；模糊聚類
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