fuzzy delphi method

The purpose of this research was to identify the effective indicators in conducting "value engineering" studies in the projects of the worn-out urban fabric of North East Investment Company. For this purpose, previous studies used to identify indicators. Feebly researchers introduced 36 indicators as the main effective factors in value engineering studies. The panel of experts of this research were 20 experts from people involved, active or related to the subject of value engineering studies of Northeast Investment Company. The present study identified and prioritized value-engineering indicators in urban dilapidated fabric projects using the fuzzy Delphi model. To carry out this research, a document study used to identify the value engineering indicators in the urban dilapidated fabric projects and the fuzzy Delphi technique used to prioritize the identified indicators. The survey conducted in three stages and the results of each stage were refined. The panel of research experts included the experts of North East Investment Company. Data collection was done using the fuzzy Delphi method and by sending questionnaires in three stages. To achieve the goals of the research; First, with library studies, value engineering indicators identified in dilapidated urban fabric projects, and then by using the fuzzy Delphi method in three stages and asking for opinions through a five-point Likert scale questionnaire from 20 experts of dilapidated urban fabric projects. 36 items that got a sufficient score in the experts' consensus were determined and then the identified value engineering indicators prioritized using the opinion of experts and based on the fuzzy Delphi method.

Risk management is a new branch of management science that, despite being new, has been rapidly expanding and growing and has been welcomed by experts and managers in a variety of trends. Today, risk and related tendencies have found their place in a wide range of matters such as investment, trade, insurance, safety, health, industrial and development projects, and even political, social and military issues. In this regard, risk management has a special place in project management issues, features such as project uniqueness and uncertainty in hypotheses, project objectives and requirements and as a result of environmental factors governing the project, the roots of uncertainty and the source of risk in the project host. According to the standard of knowledge of project management, risk management is one of the principles that is used in project management and to identify uncertainties in achieving project goals. In this study, using fuzzy Delphi method, risk was identified in Mashhad construction projects and then, using the opinion of the panel of experts, 32 risks were identified and prioritized. In supply and goods and equipment, lack of necessary infrastructure for projects, lack of foreign investment in project implementation, constant change of managers, lack of skilled labor, lack of qualified engineer, lack of understanding of projects and related activities, Goods and equipment insurance have the highest risks.

Building information modeling is a digital representation of a building or infrastructure that helps architects, engineers, and construction professionals design, plan, and manage construction projects more efficiently. There is a need to integrate building information modeling techniques in construction projects to increase the efficiency of the project, in the meantime, different technologies can be used to improve the efficiency, therefore, in this research, the scanning technique for modeling is investigated. The building information is in the projects under construction. In the meantime, the qualitative part of the research, which includes studies and extraction of effective factors from previous related research, has been started, which has been completed by confirming and screening the factors using the fuzzy Delphi method and focusing on the opinion of experts in two phases. In order to calculate the adequacy of the size of the statistical population, the sphericity-Bartlett test was used and the results obtained were confirmed by experts. Based on the standard coefficients, the index of data processing collected with a coefficient of 0.94, the index of data collection with a coefficient of 0.86, the index of choosing the optimal laser scan with a coefficient of 0.79, the index of using data in modeling with a coefficient of 0.68, Results checking index with a coefficient of 0.64 and quality inspection index with a coefficient of 0.59 can be prioritized. By using factors such as preparation of a preliminary map in order to manage encounters in the process of data collection and display them in the form of geographic information system maps, and to monitor the dimensions and components of the project It is provided to design and implement the building with higher efficiency.

Today, research on road accidents, especially in horizontal arches, is considered a scientific and applied research. Researchers have come to the conclusion that accidents are not just a specific cause but a series of different causes and events, both human and non-human. The purpose of this study is to identify and localize the causes of accidents in horizontal arches on the Babamidan-Basht axis. The research method is descriptive-survey in terms of implementation and applied research in terms of purpose, which has been done quantitatively. Because the subject of the present study is a specific topic in the field of roads (engineering and road construction), non-probabilistic sampling is of a judgmental type. The statistical population of the study includes 12 experts, experts and engineers in the field of road construction in Fars province. In this research, by studying the latest previous domestic and foreign research as well as field research, the causes of accidents in horizontal arches have been identified and then localized using the opinion of experts and fuzzy Delphi method. After distributing and analyzing the questionnaires, the result was that out of 22 identified factors for the occurrence of accidents in horizontal arches, according to experts, 13 factors for the Babamidan-Basht axis were finally confirmed. At the end of the research, in line with localized factors, some practical suggestions for improving and reducing accidents in the horizontal axes of Babamidan-Basht axis are presented.