Managing uncertainty in multiple-criteria decision making related to sustainability assessment

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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In real life, decisions are usually made by comparing different options with respect to several, often conflicting criteria. This requires subjective judgements on the importance of different criteria by DMs and increases uncertainty in decision making. This article demonstrates how uncertainty can be handled in multi-criteria decision situations using Compromise Programming, one of the Multi-criteria Decision Analysis (MCDA) techniques. Uncertainty is characterised using a probabilistic approach and propagated using a Monte Carlo simulation technique. The methodological approach is illustrated on a case study which compares the sustainability of two options for electricity generation: coal versus biomass. Different models have been used to quantify their sustainability performance for a number of economic, environmental and social criteria. Three cases are considered with respect to uncertainty: (1) no uncertainty, (2) uncertainty in data/models and (3) uncertainty in models and decision-makers’ preferences. The results shows how characterising and propagating uncertainty can help increase the effectiveness of multi-criteria decision making processes and lead to more informed decision.
Original languageEnglish
JournalClean Technologies and Environmental Policy
Publication date2011
Volume13
Journal number1
Pages133-139
ISSN1618-954X
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 10

Keywords

  • Monte Carlo simulation, Multi-criteria decision analysis, Sustainability assessment, Compromise programming, Uncertainty analysis
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