An intuitionistic fuzzy multi-class approach to risk assessment for sustainable BOT highway construction projects: A case study

Document Type : Article

Authors

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

2 - Department of Civil Engineering, Qeshm Branch, Islamic Azad University, Qeshm, Iran. - Technical and Engineering Faculty, University of Qom, Qom, Iran.

3 Department of Architecture, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

In last decade, the emergence of various risks and hazards in large and infrastructure projects has become a concern for governments and government-affiliated institutions. Thereby, BOT contracts have been set up to prevent these risks at the national level, leaving the design, construction, and operation of the projects with all investments to a foreign or private company. Meanwhile, a multi-phase weighting approach based-collective criteria and DEMATEL methodology is proposed under dynamic intuitionistic fuzzy (DIF) set environment. In this respect, the weight of each criterion is determined by DIF-collective criteria method and also the interdependencies relation between criteria is computed by developed DIF-DEMATEL methodology to tune the criteria weights. In addition, the weights of experts are specified by proposed DIF-utility degree method to reach a precise solution. Moreover, the proposed approach of this study is extended based on last aggregation concept to reduce the data loss. Then, the proposed methodology is implemented to a real case study and also compared with a recent relevant study in literature to ensure the reliability of the results. Finally, a sensitivity analysis is manipulated to find the most effective parameters that can change the obtained results.

Keywords

References

References:
1. Hamzeh, A.M., Mousavi, S.M., and Gitinavard, H. "Imprecise earned duration model for time evaluation of construction projects with risk considerations". Automation in Construction, 111, p. 102993 (2020). DOI: 10.1016/j.autcon.2019.102993.
2. Gitinavard, H., Shirazi, M.A., and Zarandi, M.H.F. "Sustainable feedstocks selection and renewable products allocation: A new hybrid adaptive utilitybased consensus model", Journal of Environmental Management, 264, p. 110428 (2020). DOI: 10.1016/j.jenvman.2020.110428.
3. Hashemi, S., Mousavi, S., and Patoghi, A. "A fuzzy multi-objective mathematical programming model for project management decisions considering quality and contractual reward and penalty costs in a project network", Arabian Journal for Science and Engineering, 46(2), pp. 1617-1629 (2021). DOI: 10.1007/s13369- 020-04800-3.
4. Chen, Z.-S., Liu, X.-L., Rodriguez, R.M., et al. "Identifying and prioritizing factors affecting in-cabin passenger comfort on high-speed rail in China: a fuzzybased linguistic approach", Applied soft computing, 95, p. 106558 (2020). DOI: 10.1016/j.asoc.2020.106558.
5. Chen, Z.-S., Zhang, X., Govindan, K., et al. "Thirdparty reverse logistics provider selection: A computational semantic analysis-based multi-perspective multiattribute decision-making approach", Expert Systems with Applications, 166, p. 114051 (2021). DOI: 10.1016/j.eswa.2020.114051.
6. Ebrahimnejad, S., Naeini, M., Gitinavard, H., et al. "Selection of IT outsourcing services' activities considering services cost and risks by designing an intervalvalued hesitant fuzzy-decision approach", Journal of Intelligent & Fuzzy Systems, 32(6), pp. 4081-4093 (2017). DOI: 10.3233/JIFS-152520.
7. Kokkaew, N. and Rakprasong, A., "Modelling an extension decision of BOT transportation infrastructure: A risk-adjusted approach", In ICCREM 2020: Intelligent Construction and Sustainable Buildings., American Society of Civil Engineers Reston, VA., pp. 435-444 (2020). DOI: 10.1061/9780784483237.052.
8. Song, J., Jin, L., and Dong, W. "Excess revenue allocation for build-operate-transfer highway projects", Journal of Transport Economics and Policy (JTEP), 50(3), pp. 304-324 (2016).
9. Nguyen, N., Almarri, K., and Boussabaine, H. "A riskadjusted decoupled-net-present-value model to determine the optimal concession period of BOT projects", Built Environment Project and Asset Management, 11(1), pp. 4-21 (2020). DOI: 10.1108/BEPAM-12- 2019-0134.
10. Ebrahimnejad, S., Mousavi, S.M., and Seyrafianpour, H. "Risk identification and assessment for build-operate-transfer projects: A fuzzy multi attribute decision making model", Expert systems with Applications, 37(1), pp. 575-586 (2010). DOI: 10.1016/j.eswa.2009.05.037.
11. Gitinavard, H., Makui, A., and Jabbarzadeh, A. "Interval-valued hesitant fuzzy method based on group decision analysis for estimating weights of decision makers", Journal of Industrial and Systems Engineering, 9(3), pp. 96-110 (2016). DOI: 20.1001.1.17358272.2016.9.3.7.7.
12. Gitinavard, H. and Mousavi, S.M. "A new balancing and ranking method based on hesitant fuzzy sets for solving decision-making problems under uncertainty", International Journal of Engineering, 28(2), pp. 214- 223 (2015). DOI: 10.5829/idosi.ije.2015.28.02b.07.
13. Wu, Y., Zhang, T., Chen, K., et al. "A risk assessment framework of seawater pumped hydro storage project in China under three typical public-private partnership management modes", Journal of Energy Storage, 32, p. 101753 (2020). DOI: 10.1016/j.est.2020.101753.
14. Jiang, W., Martek, I., Hosseini, M.R., et al. "Political risk management of foreign direct investment in infrastructure projects: Bibliometric-qualitative analyses of research in developing countries", Engineering, Construction and Architectural Management, 28(1), pp. 125-153 (2019). DOI: 10.1108/ECAM-05-2019-0270.
15. Wang, Y. and Jin, X. "Determine the optimal capital structure of BOT projects using interval numbers with Tianjin Binhai New District Metro Z4 line in China as an example", Engineering, construction and architectural management, 26(7), pp. 1348-1366 (2019). DOI: 10.1108/ECAM-07-2018-0259.
16. Patel, T.D., Haupt, T.C., and Bhatt, T. "Fuzzy probabilistic approach for risk assessment of BOT toll roads in Indian context", Journal of Engineering, Design and Technology, 18(1), pp. 251-269 (2019). DOI: 10.1108/ECAM-08-2018-0351.
17. Aladag, H. and Is ik, Z. "Design and construction risks in BOT type mega transportation projects", Engineering, Construction and Architectural Management, 26(10), pp. 2223-2242 (2019). DOI: 10.1108/ECAM- 08-2018-0351.
18. Le, P.T., Chileshe, N., Kirytopoulos, K., et al. "Investigating the significance of risks in BOT transportation projects in Vietnam", Engineering, Construction and Architectural Management, 27(6), pp. 1401-1425 (2020). DOI: 10.1108/ECAM-08-2018-0351.
19. Liu, Y., Gui, Y., Zhou, Y., et al. "A Case Study on International Engineering Risk Management Under BOT Model: The case of Yavuz Sultan Selim Bridge in Istanbul", In IOP Conference Series: Earth and Environmental Science, IOP Publishing (2020). DOI: 10.1088/1755-1315/568/1/012050.
20. Vahdatmanesh, M. and Firouzi, A. "Construction material supply risk management using Asian option contracts: the case of a pipeline project", Engineering, Construction and Architectural Management, 27(10), pp. 3395-3414 (2020). DOI: 10.1108/ECAM-02-2019- 0102.
21. Kasemsukh, S. and Kokkaew, N., "Financial impact assessment of construction delay in BOT infrastructure projects", In ICCREM 2020: Intelligent Construction and Sustainable Buildings., American Society of Civil Engineers Reston, VA., pp. 425-434 (2020). DOI: 10.1061/9780784483237.051.
22. Okudan, O., Budayan, C., and Dikmen, I. "A knowledge-based risk management tool for construction projects using case-based reasoning", Expert Systems with Applications, 173, p. 114776 (2021). DOI: 10.1016/j.eswa.2021.114776.
23. Shaktawat, A. and Vadhera, S. "Risk management of hydropower projects for sustainable development: a review", Environment, Development, and Sustainability, 23(1), pp. 45-76 (2021). DOI: 10.1007/s10668-020- 00607-2.
24. Dheeriya, P. and Singhvi, M. "A conceptual framework for replacing audit committees with artificial intelligence infused bot", EDPACS, 63(3), pp. 1-18 (2021). DOI: 10.1080/07366981.2020.1824335.
25. Haider, H., Ghumman, A.R., Al-Salamah, I.S., et al. "Sustainability evaluation of rainwater harvestingbased flood risk management strategies: a multilevel decision-making framework for arid environments", Arabian Journal for Science and Engineering, 44(10), pp. 8465-8488 (2019). DOI: 10.1007/s13369- 019-03848-0.
26. Davoudabadi, R., Mousavi, S.M., Saparauskas, J., et al.  "Solving construction project selection problem by a new uncertain weighting and ranking based on compromise solution with linear assignment approach", Journal of Civil Engineering and Management, 25(3), pp. 241-251 (2019). DOI: 10.3846/jcem.2019.8656.
27. Hatefi, S.M. and Mohseni, H. "Evaluating and prioritizing the risks of BOT projects using structural equations and integrated model of fuzzy AHP and fuzzy TOPSIS", Journal of Structural and Construction Engineering, 6(4), pp. 111-130 (2019).
28. Akram, M., Ilyas, F., and Garg, H. "Multi-criteria group decision making based on ELECTRE I method in Pythagorean fuzzy information", Soft Computing, 24(5), pp. 3425-3453 (2020). https://link.springer.com/article/10.1007/ s00500- 019-04105-0.
29. Davoudabadi, R., Mousavi, S.M., Mohagheghi, V., et al. "Resilient supplier selection through introducing a new interval-valued intuitionistic fuzzy evaluation and decision-making framework", Arabian Journal for Science and Engineering, 44(8), pp. 7351-7360 (2019). DOI: 10.1007/s13369-019-03891-x.
30. Gitinavard, H., Mousavi, S.M., and Vahdani, B. "A new multi-criteria weighting and ranking model for group decision-making analysis based on intervalvalued hesitant fuzzy sets to selection problems", Neural Computing and Applications, 27(6), pp. 1593- 1605 (2016). DOI: 10.1007/s00521-015-1958-0.
31. Solgi, E., Husseini, S.M.M., Ahmadi, A., et al. "A hybrid hierarchical soft computing approach for the technology selection problem in brick industry considering environmental competencies: A case study", Journal of Environmental Management, 248, p. 109219 (2019). DOI: 10.1016/j.jenvman.2019.06.120.
32. Alilou, H., Rahmati, O., Singh, V.P., et al. "Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria", Journal of Environmental Management, 232, pp. 22-36 (2019). DOI: 10.1016/j.jenvman.2018.11.019.
33. Gitinavard, H., Mousavi, S.M., and Vahdani, B.  Soft computing based on hierarchical evaluation approach and criteria interdependencies for energy decisionmaking problems: A case study", Energy, 118, pp. 556-577 (2017). DOI: 10.1016/j.energy.2016.10.070.
34. Lin, K.-P., Tseng, M.-L., and Pai, P.-F. "Sustainable supply chain management using approximate fuzzy DEMATEL method", Resources, Conservation and Recycling, 128, pp. 134-142 (2018). DOI: 10.1016/j.resconrec.2016.11.017.
35. Xu, Z. and Yager, R.R. "Dynamic intuitionistic fuzzy multi-attribute decision making", International Journal of Approximate Reasoning, 48(1), pp. 246-262 (2008). DOI: 10.1016/j.ijar.2007.08.008.
36. Xu, Z. and Zhang, X. "Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information", Knowledge-Based Systems, 52, pp. 53-64 (2013). DOI: 10.1016/j.knosys.2013.05.011.
37. Tavakkoli-Moghaddam, R. and Mousavi, M. "Group decision making based on a new evaluation method and hesitant fuzzy setting with an application to an energy planning problem", International Journal of Engineering, 28(9), pp. 1303-1311 (2015).
38. Wang, R., Chen, Z.-S., Shuai, B., et al. "Site selection of high-speed railway station: A trapezoidal fuzzy neutrosophic-based consensual group decision-making approach", Journal of Intelligent & Fuzzy Systems, 40(3), pp. 5347-5367 (2021). DOI: 10.3233/JIFS- 202143.
39. Gitinavard, H. and Akbarpour Shirazi, M. "An extended intuitionistic fuzzy modified group complex proportional assessment approach", Journal of Industrial and Systems Engineering, 11(3), pp. 229-246 (2018). DOI: 20.1001.1.17358272.2018.11.3.12.6.
40. Cheng, Y., Li, Y., and Yang, J. "Novel approach of obtaining dynamic multi-attribute weight for intuitionistic fuzzy environment based on fractional integrals", International Journal of Fuzzy Systems, 22(1), pp. 242-256 (2020). DOI: 10.1007/s40815-019-00765-0.
41. Wu, Y., Wu, C., Zhou, J., et al. "A DEMATELTODIM based decision framework for PV power generation project in expressway service area under an intuitionistic fuzzy environment", Journal of Cleaner Production, 247, p. 119099 (2020). DOI: 10.1016/j.jclepro.2019.119099.
42. Ghaderi, H., Gitinavard, H., and Mehralizadeh, M., "An Intuitionistic Fuzzy DEA Cross-Efficiency Methodology with an Application to Production Group Decision-Making Problems", Journal of Quality Engineering and Production Optimization, 5(2), pp. 69-86 (2020). DOI: 10.22070/JQEPO.2020.5180.1132.
43. Liu, S., Yu, W., Chan, F.T., et al. "A variable weightbased hybrid approach for multi-attribute group decision making under interval-valued intuitionistic fuzzy sets", International Journal of Intelligent Systems, 36(2), pp. 1015-1052 (2021). DOI: 10.1002/int.22329.
44. Tao, R., Liu, Z., Cai, R., et al. "A dynamic group MCDM model with intuitionistic fuzzy set: Perspective of alternative queuing method", Information Sciences, 555, pp. 85-103 (2021). DOI: 10.1016/j.ins.2020.12.033.
45. Liu, B., Jiao, S., Shen, Y., et al. "A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decisionmaking in intuitionistic fuzzy environment", Information Fusion, 80, pp. 266-281 (2022). DOI: 10.1016/j.inffus.2021.09.020.
Scientia Iranica
Volume 31, Issue 7
Transactions on Civil Engineering (A)
May and June 2024
Pages 569-587

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