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.contributor.otherEkonomická fakultacs
dc.date.accessioned2020-11-25T08:54:55Z
dc.date.available2020-11-25T08:54:55Z
dc.description.abstractWithin 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 normalization-based 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.formattext
dc.identifier.doi10.15240/tul/001/2020-4-008
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/158177
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
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dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectsustainable supplieren
dc.subjectMultiple Criteria Decision Making (MCDM)en
dc.subjectdistance measureen
dc.subjectStepwise Weight Assessment Ratio Analysis (SWARA)en
dc.subjectDouble Normalization-based Multi-Aggregation (DNMA) methoden
dc.subject.classificationQ48
dc.subject.classificationQ56
dc.subject.classificationC91
dc.titleSustainable Construction Supplier Selection by a Multiple Criteria Decision-making Method with Hesitant Linguistic Informationen
dc.typeArticleen
local.accessopen
local.citation.epage136
local.citation.spage119
local.facultyFaculty of Economics
local.filenameEM_4_2020_8
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue4
local.relation.volume23
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