It extracted learning samples from the MADM problem,estimated the Multiple Attribute Utility Function via LSSVM,and then selected the most desirable alternative.

 
  • 該方法從決策問(wèn)題本身出發(fā),構造學(xué)習樣本,再通過(guò)最小二乘支持向量機擬合出多屬性效用函數,從而實(shí)現對方案的排序。
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