Short communication: Application of symmetric fuzzy linear programming in life cycle assessment

作者: Raymond R. Tan

DOI: 10.1016/J.ENVSOFT.2004.11.014

关键词: Linear programmingContext (language use)Life-cycle assessmentRange (mathematics)Simple (abstract algebra)Multiple objectivePareto optimalFuzzy linear programmingMathematical optimizationMathematics

摘要: Life cycle assessment (LCA) is known to entail multiple objective decision-making in the analysis of tradeoffs between different environmental impacts. The work Azapagic and Clift late 1990s illustrates use linear programming (MOLP) context LCA. However, it will be noted that their approach yields a range Pareto optimal alternatives from which decision-maker must ultimately select final solution. An alternative making Zimmermann's symmetric fuzzy method proposed illustrated with simple case study. procedure effectively single, compromise

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