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QoS requirements of Grid users for Grid service resources always include multiple fuzzy attributes. And there is contradictory between these QoS parameters. A multi-attributes decision making method based on information entropy is utilized to weigh the importance degree of QoS parameters and solve the contradictory. In addition, evaluation factor set is classified according to the type of QoS parameters, in order to carry on multi-grades fuzzy synthetic decision making to Grid service resources. And then choose one resource according to the synthetic evaluation value, which can make user's target utility maximize. Finally, the strategy for resource allocation is proved to be effective by an instance.