In this paper, a new distance-based sorting method (DISWOTH) that does not require specifying class thresholds between preference-ordered classes is developed for multiple criteria sorting problems. The aim of the DISWOTH method is to assign each alternative to a class or a set of possible adjacent classes considering distance to class centroids. Distance of alternatives to centroids are used as a criteria aggregation function. A mathematical model is formulated to determine weights of criteria. Assignment is performed according to the weighted distance of each alternative to class centroids. Performance of the DISWOTH method is compared with the Preference DISaggregation analysis (PDIS) and the UTilites Additives DIScriminantes (UTADIS) methods from literature.

中文翻译：

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一种无类阈值的基于距离的多准则排序方法

在本文中，针对多标准排序问题开发了一种新的基于距离的排序方法（DISWOTH），它不需要在偏好排序的类之间指定类阈值。DISWOTH 方法的目的是考虑到类质心的距离，将每个备选方案分配给一个类或一组可能的相邻类。质心的替代距离用作标准聚合函数。制定数学模型以确定标准的权重。分配是根据类质心的每个备选方案的加权距离进行的。DISWOTH 方法的性能与文献中的 Preference DISaggregation analysis (PDIS) 和 Utilites Additives DIScriminantes (UTADIS) 方法进行了比较。