Computational Intelligence and Natural Computing, International Conference on
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Abstract

In order to satisfy users’ individual QoS requirements, the paper studied the QoS attributes of grid service, and put forward several ways to describe QoS preference information: ordering vector, AHP judgement matrix and language evaluation collection, and gave out the concrete methods of conversion and compulation. At the same time, a method of selecting the relatively optimal service was presented which can reflect users’ QoS preference. The numerical example analysis indicates that the method for user QoS preference is conscientiously feasible.
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