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The paper focuses on developing a new multiple criteria decision-making (MCDM) methodology for global web services selection based on QoS criteria, which integrates the multi-objective optimization with a fuzzy multi-attributive group decision-making (FMAGDM) technique. The study concentrates on the task of finding and then evaluating (or ranking) the finite number of pareto-optimal design alternatives (PODAs). A genetic algorithm based multi-objective optimization technique is employed for optimization purpose in terms of experts' opinions. Subjective attribute based aggregation technique for homogeneous and heterogeneous groups of experts is employed and used for dealing with the fuzzy opinion aggregation. Finally, we will discuss the integrated technique for Web services selection on global QoS optimization.