احسان الله ضیغمی

Recently, Building Information Modeling (BIM) has emerged as a new technology in the construction industry, which is gradually gaining popularity among stakeholders. Despite the importance of BIM, the literature review shows a gap in the evaluation of BIM applications in Iran. Therefore, the aim of the current research is to evaluate the applications of BIM in construction projects. Since the evaluation of the most appropriate option is a multi-criteria decision-making problem. Therefore, decision makers use preferences that are uncertain in evaluating options. Rough's theory, which is efficient in such conditions, is used. First, by using the concept of Rough's theory to transform the preferences of experts and the combined method of Analysis Hierarchy Process (AHP) and VIKOR, is used for evaluation. The results show that the proposed decision method is effective improved objectivity in BIM application evaluation under subjective condition.

As a driver of national development, the construction industry has in recent decades gained substantial environmental importance due to its extent and effects on life, business, and the environment. Due to its economic, social, and environmental impacts, the construction industry has been discussed extensively in the sustainable development literature, contributing to development of Green Building Rating Systems (GBRSs) worldwide. This study introduces some of the most popular GBRSs and employs a Multi- Criteria Decision Making (MCDM) approach to investigate the evaluation indices of GBRSs. GBRS indices were obtained through a comprehensive literature review. To validate the identified indices, 400 questionnaires were handed out to respondents, with 260 completed questionnaires being returned. The responses were statistically analyzed, identifying twenty important indices, which were modeled using Interpretative Structural Modeling (ISM) and categorized using MICMAC analysis. The ISM model showed that the barriers arising from unique characteristics of a region were the main GBRS factor in Iran.