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Sustainability Indicator Selection by a Novel Triangular Intuitionistic Fuzzy Decision-Making Approach in Highway Construction Projects

Author

Listed:
  • Hassan Hashemi

    (School of Civil Engineering, Iran University of Science and Technology, P.O. Box 16765-163, Narmak, Tehran 1684613114, Iran)

  • Parviz Ghoddousi

    (School of Civil Engineering, Iran University of Science and Technology, P.O. Box 16765-163, Narmak, Tehran 1684613114, Iran)

  • Farnad Nasirzadeh

    (School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia)

Abstract

The construction industry has been criticized as being a non-sustainable industry that requires effective tools to monitor and improve its sustainability performance. The multiplicity of indicators of the three pillars of sustainability—economic, social, and environmental—complicates construction sustainability assessments for project managers. Therefore, prioritizing and selecting appropriate sustainability indicators (SIs) is essential prior to conducting a construction sustainability assessment. The main purpose of this research is to select the most appropriate set of SIs to address all three pillars of highway sustainability by a new group decision-making approach. The proposed approach accounts for risk attitudes of experts and entropy measures under a triangular intuitionistic fuzzy (TIF) environment, to handle the inherent uncertainty and vagueness that is present throughout the evaluation process. Furthermore, new separation measures and ranking scores are introduced to distinguish the preference order of SIs. Eventually, the approach is implemented in a case study of highway construction projects and the applicability of the approach is examined. To investigate the stability and validity of computational results, a sensitivity analysis is carried out and a comparison is made between the obtained ranking outcomes and the traditional decision-making methods.

Suggested Citation

  • Hassan Hashemi & Parviz Ghoddousi & Farnad Nasirzadeh, 2021. "Sustainability Indicator Selection by a Novel Triangular Intuitionistic Fuzzy Decision-Making Approach in Highway Construction Projects," Sustainability, MDPI, vol. 13(3), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1477-:d:490646
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    References listed on IDEAS

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    Cited by:

    1. Min Zhu & Wenbo Zhou & Min Hu & Juan Du & Tengfei Yuan, 2023. "Evaluating the Renewal Degree for Expressway Regeneration Projects Based on a Model Integrating the Fuzzy Delphi Method, the Fuzzy AHP Method, and the TOPSIS Method," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    2. Mohammad Masfiqul Alam Bhuiyan & Ahmed Hammad, 2023. "A Hybrid Multi-Criteria Decision Support System for Selecting the Most Sustainable Structural Material for a Multistory Building Construction," Sustainability, MDPI, vol. 15(4), pages 1-36, February.
    3. Xumei Yuan & Cuicui Zheng, 2022. "Improved Intuitionistic Fuzzy Entropy and Its Application in the Evaluation of Regional Collaborative Innovation Capability," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
    4. Georgios K. Koulinas & Olympia E. Demesouka & Panagiotis K. Marhavilas & Nikolaos I. Orfanos & Dimitrios E. Koulouriotis, 2023. "Multicriteria Health and Safety Risk Assessments in Highway Construction Projects," Sustainability, MDPI, vol. 15(12), pages 1-14, June.

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