Given the advances in technology and the development of urban development and progress in people's lifestyles, the use of bridges is considered as an important and necessary way of esophageal communication. Bridges are one of the most important tools for connecting roads and different cities, which connect different areas and create connections between people. One of the most important and necessary measures in the bridge industry is related to the repair and maintenance of bridges, which cost less than building a bridge and help to create connections between people. To this end, the present study examines the effects affecting the maintenance and repair of bridges in urban contexts and for this issue an approach under conditions of intuitive fuzzy uncertainty based on analytic network process and comprise solution methods to calculate weights and option ranking offers. Finally, in order to validate the proposed method, a case study is used along with a comparison of the proposed method and existing methods in the literature. The final results indicate the strength and efficiency of the proposed method in calculating weights and ranking options for the project of maintenance and repair of urban bridges in Rasht.
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.
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.
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