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Dynamic Interaction Method for Group Decision Making with Interval Grey Numbers based on GMCR

机译:基于GMCR的间隔灰度编号组决策的动态交互方法

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This paper studies the problem of how to determine a satisfying alternative of all decision makers (DMs) in multiple attribute group decision making (MAGDM), which uses interval grey numbers as attribute values, and the weights of DMs are unknown. The ranking of alternatives of different DMs in group decision making are usually inconsistent, which creates conflict among DMs. To deal with this conflict, the indispensible conflict elements in MAGDM are extracted from the framework of the graph model for conflict resolution which in turn can provide an approach to acquiring stable alternative for MAGDM. Then, a dynamic interaction mechanism is devised for unstable DMs in which their attribute values are adjusted gradually according to the conflict degree of each attribute. This will show the process of how various DMs reach consonant cognition via several rounds of information exchanges. The method in this article not only concerns all DMs' opinions but also avoids the influence of DMs' weight vectors to the final decision result. Finally, validity and practicality of the proposed method are verified through a practical example. Compared with some existing methods, this study provides a new framework to real world MAGDM problems.
机译:本文研究了如何确定在多个属性组决策(MAGDM)中的所有决策者(DMS)的满足替代,其使用间隔灰度为属性值,并且DMS的权重未知。组决策中不同DMS的替代品的排名通常不一致,这会在DMS之间产生冲突。要处理这种冲突,MAGDM中的不可或缺的冲突元素是从图形模型的冲突解决模型的框架中提取,这反过来可以提供一种获取MAGDM稳定替代品的方法。然后,为不稳定的DMS设计动态交互机制,其中根据每个属性的冲突程度逐渐调整其属性值。这将显示通过几轮信息交换的各种DMS如何达到辅音认知的过程。本文中的方法不仅涉及所有DMS的意见,而且避免了DMS权重向量对最终决策结果的影响。最后,通过实际例子验证了所提出的方法的有效性和实用性。与一些现有方法相比,该研究为现实世界MAGDM问题提供了新的框架。

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