Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79217
Title: Multiactor multicriteria decision making for life cycle sustainability assessment under uncertainties
Authors: Ren, JZ 
Ren, XS
Dong, LC
Manzardo, A
He, C
Pan, M
Keywords: Sustainability assessment
Multicriteria decision making
Best-worst method
Life cycle sustainability assessment
Uncertainties
Issue Date: 2018
Publisher: John Wiley & Sons
Source: Aiche journal, June 2018, v. 64, no. 6, p. 2103-2112 How to cite?
Journal: Aiche journal 
Abstract: 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.
URI: http://hdl.handle.net/10397/79217
ISSN: 0001-1541
DOI: 10.1002/aic.16149
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