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Solving head nurse selection problem using hybrid VIKOR method under triangular fuzzy environment

机译：三角模糊环境下用混合VIKOR方法求解护士长选拔问题

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摘要

The Multi Criteria Decision Making (MCDM) problem is an interesting and dynamic area for research. Many researchers have contributed different methods for effective ranking of the alternatives. All these methods work with the background of crisp or fuzzy data. Recent research has widely used fuzzy data for representation and the popular among them is the Triangular Fuzzy Number (TFN). In this paper, we make efforts to solve the problem of selection of head nurse for health care using hybridized VIKOR method under TFN environment. The weights of the criteria are determined using Analytical Hierarchal Process (AHP) method. We now integrate AHP with VIKOR to form a hybrid framework for selecting a suitable head nurse for the health care. The strength of the framework is verified by comparing the proposed framework with other methods. Correlation inference shows that the proposed framework is consistent with the other state of the art schemes. We also infer that the proposed hybrid framework is a better choice for MCDM problems involving uncertainties and ambiguities.
机译：多标准决策（MCDM）问题是一个有趣且充满活力的研究领域。许多研究人员为有效选择替代方案做出了不同的贡献。所有这些方法都以清晰或模糊数据为背景。最近的研究已广泛使用模糊数据来表示，其中最受欢迎的是三角模糊数（TFN）。本文力求在TFN环境下采用混合VIKOR方法解决卫生保健校长护士选拔问题。标准的权重使用层次分析法（AHP）确定。现在，我们将AHP与VIKOR集成在一起，形成了一个混合框架，可为医疗保健选择合适的护士长。通过将建议的框架与其他方法进行比较，验证了框架的强度。相关推论表明，所提出的框架与其他现有技术方案是一致的。我们还推断，对于涉及不确定性和歧义的MCDM问题，建议的混合框架是更好的选择。

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