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任务求解驱动的Web服务优选模型

         

摘要

针对某一决策(使命)子任务求解,存在具有相似功能的不同Web服务可供匹配调用时的服务优选问题。本文综合考虑服务的形式化描述中服务质量属性的内涵及参数量化的"灰"特征,参照服务的最理想(最佳、最满意)状态,运用灰色关联分析和熵值法构建服务优选组合模型;最后用实例验证了该方法的可操作性和实用性。%In view of the service optimization problem that when the subtask solving is done for a certain decision-making(mission),different Web services with the similar functions are available for matching and calling.The connotation of the attributes of the quality of service and the "grey" characteristics of the parameter quantization in the formal description of the services taken into consideration,referring to the optimum status of the services,the combined service optimization model is created through the grey relation analysis and the entropy method.Finally,the method is verified to be operable and practical through an example.

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