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Optimal Siting of Electric Vehicle Charging Stations Using Pythagorean Fuzzy VIKOR Approach

机译：毕达哥拉斯模糊VIKOR法优化电动汽车充电站选址

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摘要

Site selection for electric vehicle charging stations (EVCSs) is the process of determining the most suitable location among alternatives for the construction of charging facilities for electric vehicles. It can be regarded as a complex multicriteria decision-making (MCDM) problem requiring consideration of multiple conflicting criteria. In the real world, it is often hard or impossible for decision makers to estimate their preferences with exact numerical values. 'therefore, Pythagorean fuzzy set theory has been frequently used to handle imprecise data and vague expressions in practical decision-making problems. In this paper, a Pythagorean fuzzy VIKOR (PF-VIKOR) approach is developed for solving the EVCS site selection problems, in which the evaluations of alternatives are given as linguistic terms characterized by Pythagorean fuzzy values (PFVs). Particularly, the generalized Pythagorean fuzzy ordered weighted standardized distance (GPFOWSD) operator is proposed to calculate the utility and regret measures for ranking alternative sites. Finally, a practical example in Shanghai, China, is included to demonstrate the proposed EVCS sitting model, and the advantages are highlighted by comparing the results with other relevant methods.
机译：电动汽车充电站（EVCS）的选址是在建设电动汽车充电设施的替代方案中确定最合适位置的过程。可以将其视为需要考虑多个冲突标准的复杂多标准决策（MCDM）问题。在现实世界中，决策者通常很难或不可能用精确的数值来估计他们的偏好。因此，毕达哥拉斯的模糊集理论经常被用于处理实际决策问题中的不精确数据和模糊表达。为了解决EVCS选址问题，本文提出了一种毕达哥拉斯模糊VIKOR（PF-VIKOR）方法，其中以毕达哥拉斯模糊值（PFV）为特征的语言术语给出了备选方案的评估。特别地，提出了广义勾股模糊模糊有序加权标准化距离（GPFOWSD）算子，以计算对替代站点进行排名的效用和遗憾措施。最后，包括在中国上海的一个实际示例，以证明所提出的EVCS坐姿模型，并通过将结果与其他相关方法进行比较来突出其优势。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第7期|9262067.1-9262067.12|共12页
  • 作者

    Cui Feng-Bao; You Xiao-Yue; Shi Hua; Liu Hu-Chen;

  • 作者单位

    Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China;

    Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China;

    Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China;

    Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China;

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