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Multi-criteria group decision making under uncertainty with application to air traffic safety

机译:不确定性下的多准则群体决策在航空交通安全中的应用

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There are many methods for solving problems of multi-criteria group decision making under uncertainty conditions. It is quite often that decision makers cannot formulate unequivocally their individual preference relations between variants. Analysing the causes of a serious aircraft incident is an example where a group of experts is required to have a very detailed yet interdisciplinary knowledge. Obviously, each expert has only a fraction of such knowledge. Hence, experts can make fuzzy evaluations when they are not sure about them or it is not possible to gain full knowledge. There is a need for a method that in such a case takes into account the strength of preference expressed in the significance of each criterion. Both the significance of criteria and the scores assigned to variants can be represented using fuzzy expressions. The proposed method reflects the problems of decision making when both objective (represented using non-fuzzy expressions) and subjective (represented using linguistic expressions) criteria, are involved. The proposed method enables to obtain a solution without having to conduct negotiations between decision makers. This is of advantage when there is a risk that some experts will be dominated by others. The method not only helps define a single preferred solution but also create the preference relation within a group. By applying this method, it is possible to reproduce the actual preference relations of individual decision makers. Presenting them to decision makers may induce them to change their evaluation of the weights of criteria or how they score variants.
机译:解决不确定条件下多准则群体决策问题的方法很多。决策者常常常常无法明确表述他们在变量之间的个人偏好关系。分析严重飞机事故的原因就是一个例子,其中要求一组专家具有非常详细而又跨学科的知识。显然,每个专家都只有这样的知识的一小部分。因此,当专家不确定或无法获得全面知识时,他们可以进行模糊评估。需要一种在这种情况下考虑到以每个标准的重要性表示的偏好强度的方法。可以使用模糊表达式来表示标准的重要性和分配给变体的分数。所提出的方法反映了同时涉及客观(使用非模糊表达表示)和主观(使用语言表达表示)标准的决策问题。所提出的方法能够获得解决方案,而不必在决策者之间进行谈判。当存在某些专家将被其他专家支配的风险时,这是有利的。该方法不仅有助于定义单个首选解决方案,而且还可以在组内创建偏好关系。通过应用这种方法,可以再现各个决策者的实际偏好关系。将它们呈现给决策者可能会诱使他们改变对标准权重的评估或对变量的评分方式。

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