In the past 50 years nurse scheduling has received considerable attention in the research community. There are two cases regarding the nurse scheduling problem (NSP): the static and dynamic. Dynamic NSP, is often called nurse rerostering problem (NRRP), which presents reconstruction or modification of the predetermined roster for the current scheduling horizon. The aim of this paper is to present new hybrid strategy for nurse NRRP problem. The proposed methodology is based on efficient cooperation between fuzzy logic, ordered weighted averaging and variable neighbourhood descent search. Complete system is tested, and experimental results are based on real-world dataset obtained from the Oncology Institute of Vojvodina in Serbia.

中文翻译：

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护士轮换问题的一种新的模糊元启发式方法

在过去的50年中，护士调度在研究界引起了相当大的关注。有关护士调度问题（NSP），有两种情况：静态和动态。动态NSP通常称为护士重新排班问题（NRRP），它提出了针对当前调度范围的预定排班的重建或修改。本文的目的是为护士NRRP问题提出一种新的混合策略。所提出的方法基于模糊逻辑，有序加权平均和可变邻域下降搜索之间的有效协作。测试了完整的系统，并且实验结果基于从塞尔维亚伏伊伏丁那肿瘤学研究所获得的真实数据集。