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GRA-TRI: A Multicriteria Decision Aid Classification Method based on Grey Relational Analysis

机译:GRA-TRI:基于灰色关系分析的多轨道决策辅助分类方法

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Multicriteria Decision Aiding (MCDA) paradigm has been utilized in solving classification problems, as well as ranking and selection problems. MCDA classification methods are distinguished from the other ones because they allow the decision maker to intervene the model and have no statistical constraints. In this study, a novel MCDA classification method based on Grey Relational Analysis (GRA) is presented. The method, which is named GRA-TRI, allows defining a category by reference alternative and realize assignment by considering the mathematical and geometrical similarity in GRA. In the paper, firstly, the notations and assumptions of the method have been described. Then, an illustrative example was performed step by step. By comparing GRA-TRI and ELECTRE TRI-Central, it has been showed that GRA-TRI makes consistent and reasonable assignments. Hereby, an alternative method which is simple and comprehensible, and has the advantages of grey system theory, has been presented.
机译:多轨道决策助理(MCDA)范式已被利用在解决分类问题以及排名和选择问题方面。 MCDA分类方法与另一个不同,因为它们允许决策者介入模型并没有统计限制。 在本研究中,提出了一种基于灰色关系分析(GRA)的新型MCDA分类方法。 该方法名为GRA-TRI,允许通过参考替代方法来定义类别,并通过考虑GRA中的数学和几何相似性来实现分配。 在本文中,首先,已经描述了该方法的符号和假设。 然后,通过步骤执行说明性示例。 通过比较GRA-TRI和Electre-Central,已经表明GRA-TRI具有一致和合理的任务。 因此,已经提出了一种简单易于理解的替代方法,并且已经呈现了灰色系统理论的优点。

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