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A Service Selection Method Supporting Mixed QoS Attributes

机译:支持混合QoS属性的服务选择方法

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Most of the current service selection methods assume that the Quality of Service (QoS) value of all services must be a real number, and the ambiguity of the QoS attribute is not taken into account. This assumption in the practical application requirements have certain limitations, but also lose a lot of data information. In order to enhance the ability of QoS expression, the QoS attribute value is described as exact numeric type, interval numeric type and fuzzy numeric type. At the same time, the order preference vector is used to represent the user's preference for different QoS attributes, which is converted into the subjective weight of the QoS attributes. The entropy weight is used to calculate the objective weights of the QoS attributes. On this basis, the service selection process of mixed QoS attributes is given by relative dominance algorithm. Finally, the validity and rationality of relative dominance algorithm are proved by simulation and experiment.
机译:当前大多数服务选择方法都假定所有服务的服务质量(QoS)值必须为实数,并且不考虑QoS属性的歧义性。这种假设在实际应用中要求有一定的局限性,而且还会丢失大量的数据信息。为了增强QoS表达的能力,将QoS属性值描述为精确数值类型,区间数值类型和模糊数值类型。同时,顺序偏好向量用于表示用户对不同QoS属性的偏好,并将其转换为QoS属性的主观权重。熵权用于计算QoS属性的客观权重。在此基础上,通过相对优势算法给出了混合QoS属性的服务选择过程。最后通过仿真和实验证明了相对优势算法的有效性和合理性。

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