期刊论文

A WEB SERVICE SELECTION METHOD SUPPORTING HYBRID QOS ATTRIBUTES

中文

计算机应用与软件

1000-386X

2016

33

9

15-19

10.3969/j.issn.1000-386x.2016.09.004

本校为第一机构

当前的服务选择方法大都假设所有服务的QoS(Quality of Service)属性值必须均为确定的实数,并未考虑QoS属性的模糊性。这个假设在实际应用需求中具有一定的局限性,还会丢失大量的数据信息。为增强QoS表达能力,将QoS属性值描述成精确数值型、区间数值型、模糊数值型。同时,用序关系向量表示用户对不同QoS属性的需求偏好,将其转换成用户对QoS属性的主观权重,并采用熵权法计算QoS属性的客观权重。在此基础上,采用相对优势度算法给出混合QoS属性的服务选择过程。最后通过模拟和实验验证,证明相对优势度算法的有效性与合理性。

Current Web service selection methods mostly assume that all the QoS attribute values of Web services have to be the definite real numbers; but do not take into account the fuzziness property of QoS. This hypothesis has certain limitation in practical application requirement; what＇ s more, it will also cause the loss of a large amount of data information. To enhance the representation capability of QoS, we described the QoS attributes as the accurate numerical type, the interval numerical type and the fuzzy numerical type. At the same time, we...