Abstract—

The paper proposes a method of intellectual support for the adoption of logistics decisions on the basis of genetic clustering and fuzzy modeling. The task was set and the solution of the interrelated tasks of dividing the territory of logistics services into zones, determining the required number of vehicles in the distribution of logistics orders by zones, and the assignment of vehicles for the implementation of logistics orders was presented. The use of the proposed method (by the example of online vehicle orders) makes it possible to improve the quality and efficiency of the logistics decisions.

中文翻译：

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基于遗传聚类和模糊建模的物流决策智力支持方法

摘要-

提出了一种基于遗传聚类和模糊建模的物流决策智力支持方法。确定了任务，并提出了物流服务地域划分、确定按区域分配物流订单所需车辆数量以及分配执行物流订单的车辆等相互关联的任务的解决方案。使用所提出的方法（以在线车辆订单为例）可以提高物流决策的质量和效率。