This article aims at developing a generic multiactor multicriteria decision making (MAMCDM) method for life cycle sustainability assessment (LCSA) of industrial systems under uncertainties, which can help multiple stakeholders/decision‐makers to prioritize the alternative industrial systems in a group decision‐making approach. The interval best–worst method, which can address the ambiguity, vagueness and hesitations existing in human's judgments, was developed for determining the weight of the criteria in LCSA. The consensus convergence model was developed for aggregating the relative importance of each criterion determined by different stakeholders/decision‐makers into an interval weight. Afterward, a novel multicriteria decision‐making method which can address the decision‐making matrix with interval numbers was developed to prioritize industrial systems under data uncertainties. An illustrative case has been studied by the developed model, and it reveals that the developed model allows multiple stakeholders/decision‐makers to participate in the decision‐making processes and prioritize industrial systems accurately by using interval numbers. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2103–2112, 2018

中文翻译：

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不确定因素下生命周期可持续性评估的多因素多准则决策

本文旨在开发一种通用的多因素多准则决策方法（MAMCDM），用于不确定性条件下的工业系统的生命周期可持续性评估（LCSA），该方法可以帮助多个利益相关者/决策者在一组决策中优先考虑替代性工业系统。方法。为了确定LCSA中标准的权重，开发了区间最佳-最差方法，该方法可以解决人类判断中存在的歧义，模糊和犹豫。开发了共识收敛模型，用于将由不同利益相关者/决策者确定的每个标准的相对重要性汇总为区间权重。之后，为了解决数据不确定性下的工业系统优先问题，开发了一种新颖的多准则决策方法，该方法可以解决带有区间数的决策矩阵。所开发的模型对一个说明性案例进行了研究，结果表明，所开发的模型允许多个利益相关者/决策者参与决策过程，并通过使用区间数准确地确定工业系统的优先级。©2018美国化学工程师学会AIChE J，64：2103–2112，2018