An Integrated Group Decision Analysis Framework to Evaluate the 3P Projects in Intuitionistic Fuzzy Setting

Document Type : Research Paper

Authors

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

2 Technical and Engineering Faculty, University of Qom, Qom, Iran

3 Assistant professor, Department of Architecture, Science and research Branch, Islamic Azad University, Tehran, Iran

10.22070/jqepo.2021.14853.1200

Abstract

In today's world, one of the most efficient ways to build large projects and infrastructure is related to public-private partnership (3P) projects. This method is based on the partnership between the public and private sectors and exempts the government from providing financial, human and equipment resources along with taking risks in the construction of the project. In this method, after construction and operation, the project is handed over to governments and made available to the public. In this article, following the removal of obstacles to production and development projects, we used 3P approach in the face of intuitive fuzzy uncertainty to bring management decisions closer to the outside world. Meanwhile, an integrated group decision analysis based on intuitionistic fuzzy utility degree method and intuitionistic fuzzy preference evaluation technique is tailored to compute the experts’ weights and criteria importance, respectively. Then, a novel ranking approach based on positive/negative ideal solutions and relative closeness coefficient under intuitionistic fuzzy set theory is proposed to solve the 3P urban development project selection problem. Finally, in order to evaluate the proposed method and determine its efficiency for use in large projects, a case study of urban development is used, and comparisons are made between previous methods and the proposed method.

Keywords

References

Abad-Segura, E., & González-Zamar, M. D. (2021). Sustainable economic development in higher education institutions: A global analysis within the SDGs framework. Journal of Cleaner Production, 294, 126133.
Alcantud, J. C. R., Khameneh, A. Z., & Kilicman, A. (2020). Aggregation of infinite chains of intuitionistic fuzzy sets and their application to choices with temporal intuitionistic fuzzy information. Information Sciences, 514, 106-117.
Atanassov, K. T. (1986). On a second new generalization of the Fibonacci sequence.
Atanassov, K. T. (1994). New operations defined over the intuitionistic fuzzy sets. Fuzzy sets and Systems, 61(2), 137-142.
Boniotti, C. (2021). The public–private–people partnership (P4) for cultural heritage management purposes. Journal of Cultural Heritage Management and Sustainable Development.
Borujeni, M. P., & Gitinavard, H. (2017). Evaluating the sustainable mining contractor selection problems: An imprecise last aggregation preference selection index method. Journal of Sustainable Mining, 16(4), 207-218.
Cheng, Z., Wang, H., Xiong, W., Zhu, D., & Cheng, L. (2021). Public–private partnership as a driver of sustainable development: toward a conceptual framework of sustainability-oriented PPP. Environment, Development and Sustainability, 23(1), 1043-1063.
Davoudabadi, R., Mousavi, S. M., Šaparauskas, J., & Gitinavard, H. (2019). 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), 241-251.
De, S. K., Biswas, R., & Roy, A. R. (2000). Some operations on intuitionistic fuzzy sets Fuzzy Sets Syst., vol. 114.
Djabbari, M. H. (2021). Public Private Partnership Model in Tourism Development in North Toraja District. Enrichment: Journal of Management, 11(2), 378-382.
Ebrahimnejad, S., Naeini, M. A., Gitinavard, H., & Mousavi, S. M. (2017). Selection of IT outsourcing services’ activities considering services cost and risks by designing an interval-valued hesitant fuzzy-decision approach. Journal of Intelligent & Fuzzy Systems, 32(6), 4081-4093.
Gitinavard, H. (2019). Strategic Evaluation of Sustainable Projects based on Hybrid Group Decision Analysis with Incomplete Information. Journal of Quality Engineering and Production Optimization, 4(2), 17-30.
Gitinavard, H., & Mousavi, S. M. (2015). A new balancing and ranking method based on hesitant fuzzy sets for solving decision-making problems under uncertainty. International Journal of Engineering, 28(2), 214-223.
Gitinavard, H., & Mousavi, S. M. (2015). Evaluating construction projects by a new group decision-making model based on intuitionistic fuzzy logic concepts. International Journal of Engineering, 28(9), 1312-1319.
Gitinavard, H., Makui, A., & Jabbarzadeh, A. (2016). Interval-valued hesitant fuzzy method based on group decision analysis for estimating weights of decision makers. Journal of Industrial and Systems Engineering, 9(3), 96-110.
Gitinavard, H., Mousavi, S. M., Vahdani, B., & Siadat, A. (2020). Project safety evaluation by a new soft computing approach-based last aggregation hesitant fuzzy complex proportional assessment in construction industry. Scientia Iranica, 27(2), 983-1000.
Hamzeh, A. M., Mousavi, S. M., & Gitinavard, H. (2020). Imprecise earned duration model for time evaluation of construction projects with risk considerations. Automation in Construction, 111, 102993.
He, Y., Chen, H., Zhou, L., Liu, J., & Tao, Z. (2014). Intuitionistic fuzzy geometric interaction averaging operators and their application to multi-criteria decision making. Information Sciences, 259, 142-159.
Khan, Z., Ali, M., Kirikkaleli, D., Wahab, S., & Jiao, Z. (2020). The impact of technological innovation and public‐private partnership investment on sustainable environment in China: Consumption‐based carbon emissions analysis. Sustainable Development, 28(5), 1317-1330.
Kilinkarova, E., Dmitrikova, E., Diveeva, N., & Kilinkarov, V. (2020). Legal Aspects of Implementation of MegascienceMega science Projects in Russia. Journal of Surface Investigation: X-ray, Synchrotron and Neutron Techniques, 14(1), S254-S257.
Kryukov, V. A., Sevastyanova, A. Y., Tokarev, A. N., & Shmat, V. V. (2016). A rationale for some directions of the development of resource territories: the complex «meso-level» problem. R-Economy, 2(1), 38-50.
Miasa, N. B., & Apitsa, S. M. (2021). The perception of the notion of Corporate social responsibility (CSR) in Madagascar: a representation through the cognitive map of managers in the downstream oil sector. In Doing Business in Africa (pp. 213-240). Palgrave Macmillan, Cham.
Mousavi, S. M., & Gitinavard, H. (2019). An extended multi-attribute group decision approach for selection of outsourcing services activities for information technology under risks. International Journal of Applied Decision Sciences, 12(3), 227-241.
Ren, M., Chen, J., Shi, P., Yan, G., & Cheng, L. (2021). Statistical information based two-layer model predictive control with dynamic economy and control performance for non-Gaussian stochastic process. Journal of the Franklin Institute, 358(4), 2279-2300.
Solgi, E., Husseini, S. M. M., Ahmadi, A., & Gitinavard, H. (2019). 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, 109219.
Szmidt, E., & Kacprzyk, J. (2000). Distances between intuitionistic fuzzy sets. Fuzzy sets and systems, 114(3), 505-518.
Tang, L., Shen, Q., & Cheng, E. W. (2010). A review of studies on public–private partnership projects in the construction industry. International journal of project management, 28(7), 683-694.
Tang, L., Shen, Q., & Cheng, E. W. (2010). A review of studies on public–private partnership projects in the construction industry. International journal of project management, 28(7), 683-694.
Vahdani, B. (2016). Solving robot selection problem by a new interval-valued hesitant fuzzy multi-attributes group decision method. International Journal of Industrial Mathematics, 8(3), 231-240.
Wen, T. (2021). 1949–1952:‘1952: ‘Land Reform Dividend’—Old Crisis Plus New Crisis. In Ten Crises (pp. 17-153). Palgrave Macmillan, Singapore.
Xu, Z., & Yager, R. R. (2008). Dynamic intuitionistic fuzzy multi-attribute decision making. International journal of approximate reasoning, 48(1), 246-262.
Yurdakul, H., & Kamasak, R. (2021). Public Private Partnership (PPP) as a Mechanism to Improve the Infrastructure Needs of Countries. In Handbook of Research on Global Challenges for Improving Public Services and Government Operations (pp. 222-241). IGI Global.
Zhang, L., Chu, Z., He, Q., & Zhai, P. (2019). Investigating the constraints to buidlingbuilding information modeling (BIM) applications for sustainable building projects: A case of China. Sustainability, 11(7), 1896.
Zhang, L., Li, X., & Zhang, Z. (2021, April). Real time cost control algorithm of complex construction project based on BIM. In IOP Conference Series: Earth and Environmental Science (Vol. 760, No. 1, p. 012018). IOP Publishing.
Journal of Quality Engineering and Production Optimization
Volume 7, Issue 1
May 2022
Pages 1-12

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