摘要翻译：
采用灰色TOPSIS相对贴近度法、灰色关联相对贴近度法、灰色关联相对隶属度法和基于最大熵估计的灰色关联相对贴近度法四种方法进行多属性混合型决策。在这些决策方法中，采用了四维欧氏空间中的灰色关联度。最后的排列结果由加权Borda法得到。算例说明了该方法的适用性。
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英文标题：
《Generalized Hybrid Grey Relation Method for Multiple Attribute Mixed
  Type Decision Making》
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作者：
Gol Kim, Yunchol Jong, Sifeng Liu
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最新提交年份：
2012
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  The multiple attribute mixed type decision making is performed by four methods, that is, the relative approach degree of grey TOPSIS method, the relative approach degree of grey incidence, the relative membership degree of grey incidence and the grey relation relative approach degree method using the maximum entropy estimation, respectively. In these decision making methods, the grey incidence degree in four-dimensional Euclidean space is used. The final arrangement result is obtained by weighted Borda method. An example illustrates the applicability of the proposed approach.
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PDF链接：
https://arxiv.org/pdf/1207.1534