At last this paper puts forward the solving procedure of knowledge based MADM.
最后提出了基于知识的多目标属性决策问题的求解流程。
This is the overarching discipline that oversees all aspects of every phase in the MADM lifecycle.
这是用来监督MADM生命周期中每个阶段中所有方面的全部原则。
Secondly, to extract learning samples from the MADM problem, an approach to estimate the utility functions for attributes is presented.
其次，提出了基于属性效用函数估计的学习样本构造方法，从决策问题本身抽取学习样本。
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