Sustainable Construction Supplier Selection by a Multiple Criteria Decision-making Method with Hesitant Linguistic Information

Within 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-makin...

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Veröffentlicht in:E+M ekonomie a management 2020-10, Vol.23 (4), p.119-136
Hauptverfasser: Liao, Huchang, Ren, Ruxue, Antucheviciene, Jurgita, Šaparauskas, Jonas, Al-Barakati, Abdullah
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container_end_page 136
container_issue 4
container_start_page 119
container_title E+M ekonomie a management
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creator Liao, Huchang
Ren, Ruxue
Antucheviciene, Jurgita
Šaparauskas, Jonas
Al-Barakati, Abdullah
description Within 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.
doi_str_mv 10.15240/tul/001/2020-4-008
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subjects Competitiveness
Construction industry
Decision makers
Decision making
Decision making models
Environmental protection
Experts
Fuzzy sets
Green market
Imbalance
Linear programming
Linguistics
Manufacturing
Methods
Multiple criteria decision making
Normalization
Product life cycle
Reverse logistics
Sensitivity analysis
Suppliers
Supply chain management
Sustainability
Sustainable development
Values
title Sustainable Construction Supplier Selection by a Multiple Criteria Decision-making Method with Hesitant Linguistic Information
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