Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Appropriate use of group consensus on service consumers' QoS opinions can improve b service discovery. For b service participants with different backgrounds or preferences it may not be easy to reach a consensus on the b service QoS opinions, so they should be treated as multi-groups. Also, to prevent possibly useful opinions from being omitted unintentionally, fuzzy clustering criteria for the "multi-groups" framework should be adopted. ,  have proposed a FMGSAM (Fuzzy Multi-Groups based SAM) to improve the accuracy in group opinion similarity analysis and the efficiency in generating group consensus.
['Wei-Li Lin', 'Chi-Chun Lo', 'Kuo-Ming Chao', 'Nick Godwin']
I am writing a research paper on a idea Fuzzy Similarity Clustering for Consumer-Centric QoS-Aware Selection of Web Services
[{"from": "human", "value": "I am writing a research paper on a idea Fuzzy Similarity Clustering for Consumer-Centric QoS-Aware Selection of Web Services"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Appropriate use of group consensus on service consumers' QoS opinions can improve b service discovery. For b service participants with different backgrounds or preferences it may not be easy to reach a consensus on the b service QoS opinions, so they should be treated as multi-groups. Also, to prevent possibly useful opinions from being omitted unintentionally, fuzzy clustering criteria for the \"multi-groups\" framework should be adopted. ,  have proposed a FMGSAM (Fuzzy Multi-Groups based SAM) to improve the accuracy in group opinion similarity analysis and the efficiency in generating group consensus."}]