A component selectionapproach meeting trust expectation nearest to user requirement is explored by means of the fuzzy theory.
运用模糊理论,提出了一种满足最贴近用户可信度期望的构件选择方法。
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Put another way, can you devise a selectionapproach that would be expected to provide 75 (or more) out of 100 Arctic visitors with five perfect flares?
Simulation results show that the optimal selectionapproach based on PSO is available and the PSO-SVR model has superior learning accuracy and generalization performance.