جستجوی مقالات مرتبط با کلیدواژه "anfis method" در نشریات گروه "عمران"

Value Engineering (VE) enables project managers to discover the size and location of problems in a project and to mitigate any potential backwardness. The current research aimed to find major impressive criteria and to measure their impact level on promoting the value of large-scale/mega projects using VE concepts. The hindrance and obstacles available in the application of VE in construction engineering were considered to ensure the accuracy. The main research objective was to forecast the effect of quality, cost, and time factors on the project value using an adaptive neuro fuzzy inference system (ANFIS) model. To create the ANFIS model, the required data were collected through a five-point scale Likert questionnaire, by which the expert opinions were obtained, and pairwise comparisons of the items were accomplished. The model was created using MATLAB. The statistical population was adopted from the experts and managers working in a large-scale project who were familiar with the concepts and details of VE and project management. According to the literature, more than 50 VE criteria were found, which were then reduced to 25 criteria based on experts’ opinions. These final criteria were categorized into three groups: cost, time, and quality. Afterwards, the data collected via the questionnaires were analyzed by the ANFIS model. Before completing the calculations, validity and reliability of the analytical model were investigated to ensure that the results are both valid and reliable enough for further use. The results showed that the criterion entitled ‘proper programming …’ had the highest impact on promoting the projects value, while the criterion entitled ‘prevention of work and responsibility interference …’ had the least influence. Both of the mentioned criteria were situated in the group of cost, indicating the higher importance of this group than that of the other groups.