A comparative study of multiple-criteria decision-making methods under stochastic inputs

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dc.contributor.authorKolios, Athanasios
dc.contributor.authorMytilinou, Varvara
dc.contributor.authorLozano Minguez, Estivaliz
dc.contributor.authorSalonitis, Konstantinos
dc.date.accessioned2016-08-02T12:36:33Z
dc.date.available2016-08-02T12:36:33Z
dc.date.issued2016-07-21
dc.description.abstractThis paper presents an application and extension of multiple-criteria decision-making (MCDM) methods to account for stochastic input variables. More in particular, a comparative study is carried out among well-known and widely-applied methods in MCDM, when applied to the reference problem of the selection of wind turbine support structures for a given deployment location. Along with data from industrial experts, six deterministic MCDM methods are studied, so as to determine the best alternative among the available options, assessed against selected criteria with a view toward assigning confidence levels to each option. Following an overview of the literature around MCDM problems, the best practice implementation of each method is presented aiming to assist stakeholders and decision-makers to support decisions in real-world applications, where many and often conflicting criteria are present within uncertain environments. The outcomes of this research highlight that more sophisticated methods, such as technique for the order of preference by similarity to the ideal solution (TOPSIS) and Preference Ranking Organization method for enrichment evaluation (PROMETHEE), better predict the optimum design alternative.en_UK
dc.identifier.citationKolios A, Mytilinou V, Salonitis K, Lozano-Minguez E, A comparative study of multiple-criteria decision-making methods under stochastic inputs, Energies, Vol. 9, Iss. 7, 2016, Article number 566en_UK
dc.identifier.issn1996-1073
dc.identifier.urihttp://dx.doi.org/10.3390/en9070566
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/10210
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 Internationalen_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMulti-criteria decision methodsen_UK
dc.subjectWind turbineen_UK
dc.subjectSupport structuresen_UK
dc.subjectWeighted sum methoden_UK
dc.subjectWSMen_UK
dc.subjectWeighted product methoden_UK
dc.subjectWPMen_UK
dc.subjectTechnique for the order of preference by similarity to the ideal solutionen_UK
dc.subjectTOPSISen_UK
dc.subjectAnalytical hierarchy processen_UK
dc.subjectAHPen_UK
dc.subjectPreference ranking organization method for enrichment evaluationen_UK
dc.subjectPROMETHEEen_UK
dc.subjectElimination et choix traduisant la realitéen_UK
dc.subjectELECTREen_UK
dc.subjectStochastic inputsen_UK
dc.titleA comparative study of multiple-criteria decision-making methods under stochastic inputsen_UK
dc.typeArticleen_UK

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