IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i18p7885-d1474882.html
   My bibliography  Save this article

A Group Intuitionistic Fuzzy Exponential TODIM Method Considering Attribute Interactions Applied to Green Building Material Supplier Selection

Author

Listed:
  • Zhili Jia

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Liyi Liu

    (School of Information Management, Wuhan University, Wuhan 430072, China)

  • Zhaofeng Diao

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

Abstract

Green building, driven by the goal of sustainable development, has prompted extensive attention to be paid to the environmental impact of its materials. However, some of the traditional methods of evaluating building material suppliers and attribute systems are not able to adapt to the new issues arising from the green context. This paper aims to provide a new solution for selecting green building material suppliers to enhance the green efficiency of buildings. Specifically, this paper presents a framework for evaluating and selecting suppliers of green building materials that meet the criteria of environmental friendliness and sustainability. A comprehensive evaluation attribute system is established, encompassing cost, quality, service level, delivery capability, and green and sustainable ability. Additionally, a group decision-making method based on the exponential TODIM (an acronym in Portuguese for Interactive and Multi-attribute Decision Making) and intuitionistic fuzzy numbers is developed to integrate expert opinions from diverse domains. Intuitionistic fuzzy numbers represent an extension of traditional fuzzy sets, offering a means of more fully and accurately responding to the inherent vagueness and hesitancy of human thinking. They can often prove invaluable when faced with problems containing uncertainty. Moreover, to obtain more precise attribute weights, the λ -fuzzy measure, Choquet integral, and Shapley value are employed to consider attribute interactions. Subsequently, a selection case involving six timber suppliers was proposed. Subsystem analysis was employed to ascertain the relative strengths and weaknesses of the various suppliers, with a view to facilitating future improvements. The findings indicated that green and sustainability capability attributes exert a considerable influence on the selection of green building material suppliers. Consequently, suppliers distinguished under this standard may encounter challenges in attaining exemplary rankings. Comparative analysis and robustness analysis have demonstrated the efficacy, superiority, and stability of the proposed framework. The findings of this paper can provide a reference for companies engaged in or planning to develop green buildings and help them choose green building material suppliers, which can help them achieve the expected green building efficiency and promote the sustainable development of the industry.

Suggested Citation

  • Zhili Jia & Liyi Liu & Zhaofeng Diao, 2024. "A Group Intuitionistic Fuzzy Exponential TODIM Method Considering Attribute Interactions Applied to Green Building Material Supplier Selection," Sustainability, MDPI, vol. 16(18), pages 1-24, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:7885-:d:1474882
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/18/7885/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/18/7885/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kirschstein, Thomas & Meisel, Frank, 2019. "A multi-period multi-commodity lot-sizing problem with supplier selection, storage selection and discounts for the process industry," European Journal of Operational Research, Elsevier, vol. 279(2), pages 393-406.
    2. Yingmiao Qian & Xian-An Yu & Malin Song & Zhiyang Shen, 2023. "Complexity analysis and control of game behavior of subjects in green building materials supply chain considering technology subsidies," Post-Print hal-03974946, HAL.
    3. 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.
    4. Abhijeet Ghadge & Sarat Kumar Jena & Sachin Kamble & Dheeraj Misra & Manoj Kumar Tiwari, 2021. "Impact of financial risk on supply chains: a manufacturer-supplier relational perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 59(23), pages 7090-7105, December.
    5. K. Katsaliaki & P. Galetsi & S. Kumar, 2022. "Supply chain disruptions and resilience: a major review and future research agenda," Annals of Operations Research, Springer, vol. 319(1), pages 965-1002, December.
    6. Jung-Fa Tsai & Sheng-Che Wu & Thi Khanh Linh Pham & Ming-Hua Lin, 2023. "Analysis of Key Factors for Green Supplier Selection: A Case Study of the Electronics Industry in Vietnam," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    7. Aly Owida & P.J. Byrne & Cathal Heavey & Paul Blake & Khaled S. El-Kilany, 2016. "A simulation based continuous improvement approach for manufacturing based field repair service contracting," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6458-6477, November.
    8. Liu, Hua-Wen & Wang, Guo-Jun, 2007. "Multi-criteria decision-making methods based on intuitionistic fuzzy sets," European Journal of Operational Research, Elsevier, vol. 179(1), pages 220-233, May.
    9. Cuoghi, Kaio Guilherme & Leoneti, Alexandre Bevilacqua, 2019. "A group MCDA method for aiding decision-making of complex problems in public sector: The case of Belo Monte Dam," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuanxin Liu & FengYun Li & Yi Wang & Xinhua Yu & Jiahai Yuan & Yuwei Wang, 2018. "Assessing the Environmental Impact Caused by Power Grid Projects in High Altitude Areas Based on BWM and Vague Sets Techniques," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    2. Ouyang, Yao & Pedrycz, Witold, 2016. "A new model for intuitionistic fuzzy multi-attributes decision making," European Journal of Operational Research, Elsevier, vol. 249(2), pages 677-682.
    3. Shi Yin & Yudan Zhao, 2024. "An agent-based evolutionary system model of the transformation from building material industry (BMI) to green intelligent BMI under supply chain management," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    4. Zhi Pei, 2017. "Multi-attribute decision making based on a novel IF point operator," Fuzzy Optimization and Decision Making, Springer, vol. 16(4), pages 505-524, December.
    5. Heiner Ackermann & Erik Diessel & Michael Helmling & Neil Jami & Johanna Münch, 2024. "Computing Optimal Mitigation Plans for Force-Majeure Scenarios in Dynamic Manufacturing Chains," SN Operations Research Forum, Springer, vol. 5(2), pages 1-35, June.
    6. Wang, Fa & Chen, Jing & Yang, Hui & Yu, Bo, 2022. "Supplier selection with information disclosure in the presence of uninformed consumers," International Journal of Production Economics, Elsevier, vol. 243(C).
    7. Yanru Zhong & Zhengshuai Lu & Yiyuan Li & Yuchu Qin & Meifa Huang, 2023. "An Improved Interval-Valued Hesitant Fuzzy Weighted Geometric Operator for Multi-Criterion Decision-Making," Mathematics, MDPI, vol. 11(16), pages 1-14, August.
    8. Leoneti, Alexandre Bevilacqua & Gomes, Luiz Flavio Autran Monteiro, 2021. "Modeling multicriteria group decision making as games from enhanced pairwise comparisons," Operations Research Perspectives, Elsevier, vol. 8(C).
    9. Hossein Sayyadi Tooranloo & Arezoo Sadat Ayatollah, 2024. "Neutrosophic VIKOR approach for multi-attribute group decision-making," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(2), pages 121-134.
    10. Mahsa Montajabiha, 2016. "An Extended PROMETHE II Multi-Criteria Group Decision Making Technique Based on Intuitionistic Fuzzy Logic for Sustainable Energy Planning," Group Decision and Negotiation, Springer, vol. 25(2), pages 221-244, March.
    11. Jian Lin & Fanyong Meng & Riqing Chen & Qiang Zhang, 2018. "Preference Attitude-Based Method for Ranking Intuitionistic Fuzzy Numbers and Its Application in Renewable Energy Selection," Complexity, Hindawi, vol. 2018, pages 1-14, February.
    12. Jiekun Song & Zeguo He & Lina Jiang & Zhicheng Liu & Xueli Leng, 2022. "Research on Hybrid Multi-Attribute Three-Way Group Decision Making Based on Improved VIKOR Model," Mathematics, MDPI, vol. 10(15), pages 1-21, August.
    13. Shuai Wang & Jizhuang Hui & Bin Zhu & Ying Liu, 2022. "Adaptive Genetic Algorithm Based on Fuzzy Reasoning for the Multilevel Capacitated Lot-Sizing Problem with Energy Consumption in Synchronizer Production," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    14. Mehrnaz Kouhihabibi & Erfan Mohammadi, 2023. "The Future of Sustainability in Germany: Areas for Improvement and Innovation," Papers 2311.08678, arXiv.org.
    15. Zhigang Fan & Tae-Won Kang, 2023. "Linking Sustainable Supplier Selection to Firm’s Sustainable Performance: The Moderated Mediating Role of Supplier Development and Leadership for Functional Integration," Sustainability, MDPI, vol. 15(12), pages 1-13, June.
    16. Ocampo, Lanndon & Aro, Joerabell Lourdes & Evangelista, Samantha Shane & Maturan, Fatima & Atibing, Nadine May & Yamagishi, Kafferine & Selerio, Egberto, 2023. "Synthesis of strategies in post-COVID-19 public sector supply chains under an intuitionistic fuzzy environment," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    17. Hałaj, Grzegorz & Martinez-Jaramillo, Serafin & Battiston, Stefano, 2024. "Financial stability through the lens of complex systems," Journal of Financial Stability, Elsevier, vol. 71(C).
    18. Pereira, André Alves & Pereira, Miguel Alves, 2023. "Energy storage strategy analysis based on the Choquet multi-criteria preference aggregation model: The Portuguese case," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    19. Xiaoyue You & Yuan Song, 2024. "Research on Sustainable Supplier Evaluation Index System in Architectural Design Industry," Sustainability, MDPI, vol. 16(11), pages 1-22, May.
    20. Che Mohd Imran Che Taib & Binyamin Yusoff & Mohd Lazim Abdullah & Abdul Fatah Wahab, 2016. "Conflicting Bifuzzy Multi-attribute Group Decision Making Model with Application to Flood Control Project," Group Decision and Negotiation, Springer, vol. 25(1), pages 157-180, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:7885-:d:1474882. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.