Multiactor multicriteria decision making for life cycle sustainability assessment under uncertainties

Jingzheng Ren, Xusheng Ren, Lichun Dong, Alessandro Manzardo, Chang He, Ming Pan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

33 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)2103-2112
Number of pages10
JournalAICHE Journal
Issue number6
Publication statusPublished - 1 Jun 2018


  • best-worst method
  • life cycle sustainability assessment
  • multicriteria decision making
  • sustainability assessment
  • uncertainties

ASJC Scopus subject areas

  • Biotechnology
  • Environmental Engineering
  • Chemical Engineering(all)


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