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Industrial system prioritization using the sustainability‐interval‐index conceptual framework with life‐cycle considerations
AIChE Journal ( IF 3.7 ) Pub Date : 2020-03-04 , DOI: 10.1002/aic.16961
Jingzheng Ren 1 , Xusheng Ren 2 , Weifeng Shen 2 , Yi Man 1 , Ruojue Lin 1 , Yue Liu 1 , Chang He 3 , Alessandro Manzardo 4 , Sara Toniolo 4 , Lichun Dong 2
Affiliation  

This study aims to develop a sustainability‐interval‐index (SII) conceptual framework with life‐cycle considerations which can incorporate the opinions/preferences of multiple stakeholders in the complex decision‐making processes and address the decision‐making matrix composed by multiple types of data for multiactor life cycle ranking of industrial systems. The multiactor fuzzy best‐worst method which allows multiple groups of stakeholders to use fuzzy numbers to express their opinions and preferences was developed for determining the weights of the indicators in life cycle sustainability assessment. A multicriteria decision‐making method under hybrid information was developed for addressing the decision‐making matrix composed by multiple types of data. Five hydrogen production pathways were studied, and the results reveal that the developed SII is feasible for sustainability ranking of industrial systems in life cycle perspective.

中文翻译:

使用具有生命周期考虑因素的可持续性-间隔-指数概念框架对工业系统进行优先级排序

这项研究旨在开发一个具有生命周期考虑因素的可持续性区间指数(SII)概念框架,该框架可以将多个利益相关者的意见/偏好纳入复杂的决策过程中,并解决由多种类型的决策者组成的决策矩阵。工业系统多角色生命周期排名的数据。为了确定生命周期可持续性评估中指标的权重,开发了一种允许多方利益相关者使用模糊数字表达其观点和偏好的多因素模糊最佳方法。提出了一种基于混合信息的多准则决策方法,以解决由多种数据组成的决策矩阵。研究了五个制氢途径,
更新日期:2020-03-04
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