Sustainable construction supplier selection by a multiple criteria decision-making method with hesitant linguistic information

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dc.contributor.authorLiao, Huchang
dc.contributor.authorRen, Ruxue
dc.contributor.authorAntucheviciene, Jurgita
dc.contributor.authorŠaparauskas, Jonas
dc.contributor.authorAl-Barakati, Abdullah
dc.date.accessioned2020-12-03T06:59:45Z
dc.date.available2020-12-03T06:59:45Z
dc.date.issued2020
dc.description.abstract-translatedWithin the context of resource constraints and ecological environment imbalance, the adoption of green suppliers can help construction enterprises achieve sustainable development and improve their competitiveness. The selection of sustainable construction suppliers is a multi-criteria decision-making problem since multiple factors should be considered. The increasingly complex decision-making environment makes it difficult for evaluators to give accurate evaluation values. In this regard, the hesitant fuzzy linguistic term set is a qualitative evaluation tool to represent the comprehensive linguistic evaluation values of experts by considering the hesitancy behaviors of experts. In this paper, a scientific multi-criteria decision-making model based on the improved Stepwise Weight Assessment Ratio Analysis (SWARA) method and the double normalizationbased multi-aggregation (DNMA) method in the hesitant fuzzy linguistic environment is proposed. A new distance measure is proposed to measure the differences between hesitant fuzzy linguistic term sets with different lengths without changing the original evaluation information of experts. The proposed distance measure is applied to the proposed multi-criteria decision-making model. After improving the calculation steps of the traditional SWARA method, we can determine the weights of criteria effectively through our proposed model. To verify the applicability of the proposed method, we implement it to select sustainable building suppliers. The effectiveness of the method is verified by sensitivity analysis. We also compare the results obtained by our method and those derived by the Weight Aggregated Sum Product ASsessment (WASPAS) method and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. The proposed method have a strong applicability to solve the sustainability-related decision problems given that it can effectively determine the weights of criteria and flexibly meet the needs of decision-makers by adjusting the coefficient.en
dc.format18 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2020, roč. 23, č. 4, s. 119-136.cs
dc.identifier.issn1212-3609 (Print)
dc.identifier.issn2336-5604 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/42230
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.rightsCC BY-NC 4.0en
dc.rights.accessopenAccessen
dc.subjectudržitelný dodavatelcs
dc.subjectVícekriteriální analýza variant (VAV)cs
dc.subjectměření vzdálenostics
dc.subjectStepwise Weight Assessment Ratio Analysis (SWARA)cs
dc.subjectMetoda DNMA (Double Normisation-based Multi-Aggregation)cs
dc.subject.translatedsustainable supplieren
dc.subject.translatedMultiple Criteria Decision Making (MCDM)en
dc.subject.translateddistance measureen
dc.subject.translatedStepwise Weight Assessment Ratio Analysis (SWARA)en
dc.subject.translatedDouble Normalization-based Multi-Aggregation (DNMA) methoden
dc.titleSustainable construction supplier selection by a multiple criteria decision-making method with hesitant linguistic informationen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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Číslo 4(2020)
Číslo 4(2020)