Green Supplier Selection Mechanism Based on Information Environment of Z-Numbers
Green Supplier Selection Mechanism Based on Information Environment of Z-Numbers
复制标题
基于Z号码信息环境的绿色供应商选择机制
DOI：
10.1007/s12559-022-10055-x
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发表时间：
2022-09
影响因子：
5.4
通讯作者：
Xinping Xiao
中科院分区：
文献类型：
--
作者：
Congjun Rao;Mingyun Gao;Mark Goh;Xinping Xiao
在企业的绿色采购管理中，通过对供应商进行严格的评估和选择，企业可以有效地降低经营风险，提高供应链的可持续增值能力。本文设计了一种基于不确定信息环境的绿色供应商选择机制。首先，从可持续发展的角度出发，考虑经济、环境和社会驱动因素，设计了新的绿色供应商评价指标体系。然后用Z数来描述决策信息的模糊程度和模糊属性值的可靠度。重新定义了梯形模糊数的可能性度，并在此基础上定义了Z数的可能性度。采用基于Z数可能性程度的排序方法对绿色供应商进行选择。最后，通过绿色供给选择决策实例，并与现有方法进行对比分析，凸显了所提机制的可实施性、适用性和可行性。通过对比分析和讨论，我们提出的机制中的信息处理方法可以有效地避免由于模糊信息的直接聚合而造成的信息丢失，表明我们提出的机制比其他同类方法更加可行和有效。结果表明，本文提出的绿色供应商选择机制能够处理具有Z数的不确定认知信息环境下的多属性决策问题，符合人类认知。
In the green procurement management of firms, by rigorously evaluating and selecting suppliers, firms can effectively reduce the operation risk and improve the sustainable value-added capacity of supply chain. This paper designs a novel green supplier selection mechanism based on an uncertain information environment. First, a new green supplier evaluation index system is designed by considering the economic, environmental, and social drivers from the perspective of sustainable development. Then, the Z -numbers are applied to describe the fuzziness degree of the decision information and the reliability degree of the fuzzy attribute values. We re-define the possibility degree of trapezoidal fuzzy numbers, and on that basis, we define the possibility degree of Z -numbers. A ranking method based on the possibility degree of Z -numbers is applied to select the green suppliers. Finally, the implementation, applicability, and feasibility of the proposed mechanism are highlighted by providing a decision-making example of green supply selection together with the comparison analysis with the existing methods. From the comparison analysis and discussion, the information processing method in our proposed mechanism can effectively avoid the information loss caused by the direct aggregation of fuzzy information, which shows that the proposed mechanism is more feasible and effective than other congeneric methods. The results suggest that the proposed mechanism of green supplier selection can handle multi-attribute decision-making problems in an uncertain cognitive information environment with Z -numbers, consistent with human cognition.
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DOI：
--
发表时间：
2012
期刊：
--
影响因子：
--
作者：
Bingyi Kang;Daijun Wei;Ya Li;Yong Deng
通讯作者：
Bingyi Kang;Daijun Wei;Ya Li;Yong Deng
化工行业可持续供应商选择的综合决策方法
影响因子：
8.5
作者：
Wu Chong;Lin Yang;Barnes David
通讯作者：
Barnes David
影响因子：
6.4
作者：
Kannan, Devika;Lopes de Sousa Jabbour, Ana Beatriz;Chiappetta Jabbour, Charbel Jose
通讯作者：
Chiappetta Jabbour, Charbel Jose
影响因子：
11.1
作者：
Tseng, Ming-Lang;Chiu, Anthony S. F.
通讯作者：
Chiu, Anthony S. F.
DOI：
10.1016/j.ins.2011.02.022
发表时间：
2011-07
期刊：
Inf. Sci.
影响因子：
--
作者：
L. Zadeh
通讯作者：
L. Zadeh