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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Research on the supplier selection model of closed-loop logistics systems with hesitant fuzzy information
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Research on the supplier selection model of closed-loop logistics systems with hesitant fuzzy information

机译:带有模糊信息的闭环物流系统供应商选择模型研究

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摘要

With the legislation is perfected and the useful resources decreased day by day, there are more and more enterprises are interested in closed-loop logistic systems, especially about remanufacturing logistics and reusing logistics. As we know, location, routing, and inventory are the most important factors in logistic systems, and there are closed relationships among them. In this paper, we study on the multiple attribute decision making with hesitant fuzzy information. Inspired from the idea of induced OWG (IOWG) operator, we propose the induced hesitant fuzzy Hamacher ordered weighted geometric (IHFHOWG) operator and then utilize IHFHOWG operator to develop a novel method for multiple attribute decision making with hesitant fuzzy information. In the end, an illustrative example for supplier selection is proposed to test the developed method and to show the effectiveness of the proposed algorithm.
机译:随着立法的完善和有用资源的日益减少,越来越多的企业对闭环物流系统感兴趣,尤其是对再制造物流和再利用物流。众所周知,位置,路线和库存是物流系统中最重要的因素,它们之间存在密切的关系。本文研究了带有犹豫模糊信息的多属性决策方法。受归纳式OWG(IOWG)算子的启发,我们提出了归纳式模糊Hamacher有序加权几何(IHFHOWG)算子,然后利用IHFHOWG算子开发了一种基于犹豫式模糊信息的多属性决策方法。最后,提出了供应商选择的说明性示例,以测试所开发的方法并显示所提出算法的有效性。

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