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Three-Parameter Interval Grey Number Multi-Attribute Decision Making Method Based on Information Entropy

机译:基于信息熵的三参数区间灰数多属性决策方法

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Aimed at the situation that the plan attribute value is a three-parameter interval grey number and that attribute weight is uncertain, a three-parameter interval grey number multi-attribute decision making method based on information entropy is proposed. In this study, we combine the three-parameter interval grey number decision-making problem with information entropy, build the distance entropy model of the three-parameter interval grey number, and provide a solution to the empowerment problem of the three-parameter interval grey number in grey decision-making problems. On this basis, we build the uncertainty decision making framework based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) thinking and obtain the comprehensive distances of plans from positive and negative ideal solutions through calculation. We thus determine the closeness, and, based on this value, organize these plans. Finally, we verify the feasibility and effectiveness of the proposed methods through case analysis.
机译:针对计划属性值为三参数区间灰度数且属性权重不确定的情况,提出了一种基于信息熵的三参数区间灰度数多属性决策方法。本研究将三参数区间灰数决策问题与信息熵相结合,建立了三参数区间灰数的距离熵模型,为三参数区间灰的赋权问题提供了解决方案。灰色决策问题中的数字。在此基础上,建立了基于“与理想解决方案相似的订货偏好技术”思想的不确定性决策框架,并通过计算获得了计划与正,负理想解决方案的综合距离。因此,我们确定紧密度,并基于此值组织这些计划。最后,通过案例分析验证了所提方法的可行性和有效性。

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