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Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

Author

Listed:
  • Augustinas Maceika

    (The Faculty of Mechanics, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania
    These authors contributed equally to this work.)

  • Andrej Bugajev

    (The Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania
    These authors contributed equally to this work.)

  • Olga Regina Šostak

    (The Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania
    These authors contributed equally to this work.)

  • Tatjana Vilutienė

    (The Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania
    These authors contributed equally to this work.)

Abstract

This research is dedicated to the modelling of decision process occurring during the implementation of construction projects. Recent studies generally do not assess the robustness of the decisions regarding the possible changes during the construction project implementation. However, such an assessment might increase the reliability of the decision-making process. We addressed this gap through a new model that combines the decision-making process modelling with the AHP method and includes the analysis of model stability concerning stakeholders’ behaviour. We used the Analytic Hierarchy Process (AHP) and Decision tree methods to model the decision-making process. The proposed model was validated on a case study of multiple construction projects. The assessment was performed from individual investor’s and independent expert’s perspectives. The criteria for the assessment were selected according to the principles of sustainability. We performed the sensitivity analysis, making it possible to assess the possible changes of the decisions depending on the potential patterns of the decision-makers’ behaviour. The results of the study show that, sometimes, small fluctuations in the project factors affect the project selection indicating the possible lack of the robustness of the project decisions.

Suggested Citation

  • Augustinas Maceika & Andrej Bugajev & Olga Regina Šostak & Tatjana Vilutienė, 2021. "Decision Tree and AHP Methods Application for Projects Assessment: A Case Study," Sustainability, MDPI, vol. 13(10), pages 1-33, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5502-:d:554605
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    2. Sueun Jung & Jihyun Lee, 2023. "Exploring a Conceptual Framework of Koreans’ Residential Satisfaction Based on Maslow’s Human Needs: A Qualitative and Quantitative Integrated Study," Sustainability, MDPI, vol. 15(19), pages 1-40, September.
    3. Fengfeng Zhu & Hao Hu & Feng Xu, 2022. "Risk assessment model for international construction projects considering risk interdependence using the DEMATEL method," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-20, May.
    4. Mehraj, Nadiya & Mateu, Carles & Bastida, Hector & Li, Yongliang & Ding, Yulong & Sciacovelli, Adriano & Cabeza, Luisa F., 2025. "Artificial intelligence in state of charge estimation: Pioneering approaches across energy storage systems," Energy, Elsevier, vol. 335(C).
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