A novel hierarchical dynamic group decision-based fuzzy ranking approach to evaluate the green road construction suppliers

In recent years, sustainable development and environmental protection are getting more attention in construction projects. Hence, green road construction (GRC) supplier selection problem is the main key for organizations to grow their environmental and economical performances. Accordingly, a new hierarchical group decision fuzzy ranking framework is presented based on dynamic interval-valued hesitant fuzzy numbers (DIVHFN) and last aggregation approach to select the most appropriate GRC supplier. Thereby, DIVHFN theory and last aggregation concept could decrease the judgmental errors and data loss, respectively. Moreover, the weight of each criterion is obtained by proposing a new dynamic intervalvalued hesitant fuzzy maximize deviation from ideal decision (DIVHF-MDfID) method. Furthermore, the experts' weight is determined by presenting a dynamic interval-valued hesitant fuzzy preference assessment (DIVHF-PA) method. Besides, to reach precise weights the opinions of experts are included in criteria/sub-criteria weights computations. Meanwhile, an actual case regarding GRC supplier evaluation and selection problem for a construction project is provided to detect the implementation process of the proposed approach. Finally, some comparative and sensitivity analysis are performed to confirm the validation and verification of the presented DIVHF-hierarchical group decision (DIVHF-HGD) approach.

• Publication year

  2022

• Venue

  Scientia Iranica. International Journal of Science and Technology

• Publication date

  2022-01-23

• Fields of study

  Not labeled

• Identifiers
  DOI 10.24200/sci.2022.58112.5571
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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