Supplier selection in nuclear power industry with extended VIKOR method under linguistic information
Supplier selection in nuclear power industry with extended VIKOR method under linguistic information
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DOI：
10.1016/j.asoc.2016.07.023
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发表时间：
2016-11
期刊：
影响因子：
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通讯作者：
Yunna Wu;Kaifeng Chen;Bingxin Zeng;Hu Xu;Yisheng Yang
中科院分区：
文献类型：
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作者：
Yunna Wu;Kaifeng Chen;Bingxin Zeng;Hu Xu;Yisheng Yang
随着中国核电的重启，核电行业中对质量敏感的供应商选择变得越来越迫切和必要。然而，目前对核电行业供应商选择的研究还比较少。此外，现有方法还存在一个很大的问题：对信息不确定性的描述不够。本文提出了一种扩展的Vlsekriterijumska Optimizacija I Kompromisno Resenje（VIKOR）语言信息下的潜在供应商的不确定性定量和科学的评估。云模型用于处理不精确的数值量，可以兼顾不确定信息的模糊性和随机性。以我国某核电厂为例，说明了该方法在核电行业供应商选择中的应用，证明了该方法的有效性。最后，通过与模糊VIKOR算法的对比分析和结果的灵敏度分析，验证了扩展方法的正确性和鲁棒性。
With Chinese nuclear power restarting, supplier selection in quality-sensitive nuclear power industry has become increasingly urgent and necessary. However, the current research on supplier selection in nuclear power industry is rather few. Moreover, there is still one great problem in the present methods: the description of the information uncertainty is inadequate. This paper proposes an extended Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) under linguistic information to evaluate the uncertainty of potential supplier quantitatively and scientifically. The cloud model is used to handle imprecise numerical quantities, which can give consideration to both fuzziness and randomness of uncertain information. An empirical example of a nuclear power plant in China illustrates an application to supplier selection in nuclear power industry, which proves the effectiveness of the proposed method. Finally, a comparative analysis with fuzzy VIKOR and sensitivity analysis of results are presented to verify the correctness and robustness of the extended method respectively.