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Grey incidence decision-making method of grey hesitant fuzzy sets based on kernel and grey degree

机译:基于核和灰度的灰色犹豫模糊组的灰色发病率决策方法

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Firstly, this paper expands hesitant fuzzy into grey hesitant fuzzy sets; Secondly, the “kernel and grey degree” method of grey systems is used instead of the data supplement method that traditionally presupposes the risk preferences of decision-makers. It enhances reliability on the premise of maintaining the information domain; Then we extended the “kernel and grey degree” algorithm to the decision making process of grey relational grade. Finally, an example is given to demonstrate the feasibility and applicability of this method, we study and analyze it, and we compare it with related methods in the literature. This research has a positive effect of extending the application scope of grey systems, enriching and improving the theory system of the grey correlation model.
机译:首先,本文扩展了灰色犹豫的模糊套装犹豫不决的模糊;其次,使用灰色系统的“内核和灰度”方法代替传统上预设决策者风险偏好的数据补充方法。它提高了维护信息领域的前提的可靠性;然后我们将“内核和灰度”算法扩展到灰色关系等级的决策过程。最后,给出了一个例子来证明这种方法的可行性和适用性,我们研究和分析它,我们将其与文献中的相关方法进行比较。该研究具有扩展灰色系统的应用范围,丰富和改善灰色相关模型理论体系的积极效果。

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