fuzzy delphi

The management of subway construction projects is very important due to the high cost and long duration and the economic, social and environmental impact. In order to properly and systematically monitor these projects, the critical factors of success in these projects must be identified, Prioritized and supervised them. For this purpose, in this research, the critical success factors in the projects are identified and categorized by reviewing the literature, then these factors are refined for metro construction projects with the fuzzy Delphi method. In the next step, the fuzzy DANP method is used to understand the interaction of the factors and obtain their weights. In the stage of identification of factors, 21 factors were identified and categorized in the four dimensions of finance, quality, sustainability, and organization, and 12 factors remained by performing two rounds of fuzzy Delphi. results show that The quality dimension affects the other three dimensions, which means the need to invest in quality to improve the performance of the project in all dimensions. Finally, the weights of the factors were obtained, which results shows the importance of the factors of ecological value and adaptation to weather conditions. These two factors are in the dimension of sustainability and it is important to pay attention to environmental issues in the success and sustainability of the project in the long term. The results of this research can be a guide for managers to effectively monitor subway construction projects to achieve success of various dimensions.

The location of logistics centers is of great importance for large-scale investments. Scientific studies have focused more on the location of logistics centers using multi-criteria decision-making methods. In this research, a novel approach for locating all types of logistics centers, including urban, rural, specialized logistics parks, and border logistics, at the provincial level is presented using Geographic Information Systems (GIS) and the Fuzzy Analytic Hierarchy Process (FAHP) method. For the first time, counties have been categorized into logistics centers using the provincial development document. To select and weight the criteria for logistics centers, the fuzzy Delphi method was used. For validation, the proposed approach was applied in West Azerbaijan province, where no county was selected as a logistics city. Additionally, two counties were identified as rural logistics centers, four counties as specialized logistics parks, and five border logistics centers were ranked. This approach, as a comprehensive model, can be applied in all provinces.

Ports always play a strategic role in the development of a country's domestic and international trade, whether it is developing or developed. Ports as a base of maritime trade have changed a lot in recent decades, but in line with these changes, the Ports and Maritime Organization, as the main custodian of port and maritime policy, must adapt quickly, and this adaptation and the process of change in the next generations of ports of the country should lead to good governance in the management of port affairs. The present study is a descriptive-survey research in terms of applied purpose and based on its nature and method. This study identifies the effective factors on good governance in the Ports and Maritime Organization by comprehensively reviewing the existing literature and then using fuzzy Delphi method to refine the components based on the opinions of experts and then analyzing the relationships between the components of good governance using the Fuzzy Dematel technique. Findings show that the component of "Responsibility" has the most impact,influens and most of the interaction and communication with other components is among the other components of good governance.

Considering that a significant portion of the share of energy consumption among consumer sectors is in the home and commercial sectors and this share is still increasing, there is a need for research in energy consumption management and evaluation of effective indicators in the building industry. Building the country is vital to optimizing energy consumption. One of the most appropriate ways to optimize fuel consumption in the building and housing sector is the implementation of zero energy buildings which is considered as the main solution in the world. In this research, after analyzing the population and statistical sample, data were collected to evaluate effective criteria and options related to energy consumption management. First, fuzzy Delphi method was used to evaluate the sub-criteria and select the main options of each. At first level the criterion is discussed and at the second level the data analysis and research model is analyzed through paired comparisons using fuzzy hierarchical analysis technique. Finally, the most important indicators and criteria are obtained using fuzzy hierarchical analysis. According to the research findings, among the energy consumption optimization management indices investigated by the FAHP method, the economic, construction and utilities indices with 0.333, 0. 201 and 0.176 have the highest management priority, respectively. Energy-efficient optimization has a zero-energy building approach.