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Exact Approaches for Parameter Elicitation in Lexicographic Ordering

机译:词条评价排序中参数诱导的精确方法

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In this paper, we study the use of exact approaches based on constraint programming and mixed integer programming, to tackle the parameter elicitation problem in the lexicographic ordering approach (LO). Like all multicriteria optimization methods, the LO method has the criteria order parameter that should be fixed carefully. Indeed, the criteria usually conflict with each other, and thus, finding an appropriate order between the criteria is challenging. This is why we propose elicitation methods in order to assist the Decision Maker (DM) in fixing this parameter. These methods require some prior knowledge, that the DM can give easily. We present some numerical experiments, showing the effectiveness of our approaches.
机译:在本文中,我们研究了基于约束编程和混合整数编程的精确方法的使用,以解决词汇表排序方法(LO)中的参数诱导问题。与所有多轨道优化方法一样,LO方法具有应仔细修复的标准顺序参数。实际上,标准通常彼此冲突,因此,在标准之间找到适当的秩序是具有挑战性的。这就是为什么我们提出阐述方法,以帮助决策者(DM)修复此参数。这些方法需要一些先验的知识,DM可以轻松赠送。我们提出了一些数值实验,展示了我们方法的有效性。

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