An intuitionistic fuzzy weighting and ranking model to evaluate the financing challenges of urban development with public-private partnership projects

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 today's world, one of the most important and basic parts in urban developments is related to the creation and development of a projects with an infrastructure nature. Meanwhile, these development projects can implement under the public-private partnership (3P) projects that financial challenges are the main factor that can affect the success of the project. In this paper, a novel intuitionistic fuzzy soft computing-based ideal solution based on criteria importance determination and experts’ weights computations is tailored. In this sake, the criteria importance is computed based on presented intuitionistic fuzzy preference evaluation method and also the experts’ weights are determined by proposing an intuitionistic fuzzy utility degree technique. Moreover, the proposed approach is developed based on last aggregation process to decrease the data loss and cover the preferences judgments of experts thorough the method execution. Finally, a real case study is provided to indicate the process of the method execution and assess the effective criteria in 3P projects of urban development. In addition, a comparative assessment and a sensitivity analysis is considered to show the applicability and sensitiveness/robustness of the proposed approach, respectively.

Keywords

References

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Scientia Iranica
Volume 30, Issue 3
Transactions on Civil Engineering (A)
May and June 2023
Pages 877-890

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History

  • Receive Date: 03 July 2021
  • Revise Date: 28 September 2022
  • Accept Date: 28 November 2022

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