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

Document Type : Article


1 Department of Civil Engineering, Islamic Azad University, Karaj Branch, Karaj, Iran

2 Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, 424 Hafez Ave., Tehran, Iran


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 interval-valued 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.


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