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Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process-based method for fuzzy classification in sorting problems

机译:分析层次处理 - 模糊分类:基于分析层次过程的对分类问题的模糊分类方法

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摘要

Analytic Hierarchy Process (AHP) is a well-founded and popular method in the Multi-Criteria Decision Analysis (MCDA) field. AHPSort, a recently introduced sorting variant, uses crisp class-assignment of alternatives. This can sometimes be misleading, especially for alternatives near the border of two classes. This paper aims at making the class assignment process in AHPSort more flexible by using fuzzy sets theory, which facilitates soft transitions between classes and provides additional information about the membership of alternatives in each class that can be used to fine-tune actions beyond the crisp sorting process. This essentially complements the ordinal information of its crisp variant with cardinal information as to the degree of membership of an alternative to each class. The applicability of the proposed approach is illustrated in a case study that regards the classification of London boroughs according to their safety levels.
机译:分析层次过程(AHP)是多标准决策分析(MCDA)字段中的良好成立和流行的方法。 ahpsort是最近引入的排序变量,使用替代品的Crisp类分配。这有时可以误导,特别是对于两个课程边界附近的替代品。本文旨在通过使用模糊集理论使AHPSort中的类分配过程更灵活,这有助于类之间的软转换,并提供有关每个类中替代品成员资格的其他信息,这些信息可用于超出清晰排序之外的微调动作过程。这基本上将其清晰变体的序数信息与基本信息与每个班级的替代品的成员资格相提并论。拟议方法的适用性示于案例研究中,根据其安全水平,伦敦自治市镇的分类。

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