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Research on Rough Sets Based Service Matchmaking Algorithm for Pervasive Computing

机译:基于粗糙集的普罗瓦斯计算的粗集汇演算法研究

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Rough sets theory is applied to the service matchmaking algorithm for pervasive computing. The relevant service matchmaking algorithm model and method are presented in the paper. The decision system is built on the basis of the sample data from service resources. The evaluation indexes for service matchmaking are taken as the attributes to find out the important attributes that reflect the essential relationship of evaluation indexes and the attribute rules for service matchmaking. These reduction attributes and matchmaking rules are good to demonstrate the essential characteristics among the attributes in finite sample. Finally, the method is justified through attribute dependency.
机译:粗糙集理论应用于普遍计算的服务匹配算法。纸张中提出了相关的相关服务匹配算法模型和方法。决策系统是根据来自服务资源的示例数据构建的。服务匹配的评估索引被视为属性,以找出反映评估索引的基本关系的重要属性和服务匹配的属性规则。这些减少属性和匹配规则很好地展示有限样本中属性的基本特征。最后,该方法通过属性依赖性进行了典范。

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