Application of Roughs’ theory in Multi-Criteria Decision-Making Methods to assess the applications of building information modeling in Iran's construction projects

Authors

1 Department of Civil Engineering, Technical and Engineering Faculty, Arak Branch, Islamic Azad University, Arak, Iran

2 Department of Civil Engineering, Arak Branch, Islamic Azad University, Arak, Iran

3 Department of Industrial Engineering, Technical and Engineering Faculty, Arak Branch, Islamic Azad University, Arak, Iran

Abstract

Recently, Building Information Modeling (BIM) has emerged as a new technology in the architecture industry, which is gradually gaining popularity among stakeholders. The literature review shows a significant gap in measuring the capabilities of BIM in Iran's construction projects. Therefore, the goal is to measure BIM capabilities and efforts have been made to select the best BIM capabilities in such a way as to increase the level of confidence in the use of this new technology. Since the evaluation of the most appropriate option is a multi-criteria decision-making problem. Therefore, decision makers use preferences that are uncertain when weighing options. Therefore, in the present study, rough's theory, which is efficient in such conditions, is used. In fact, he first used Delphi to identify criteria and decision-making options, and then used rough's theory to convert experts' preferences into interval numbers and the new combined method of Analytical Hierarchy Process (AHP) and VIKOR of rough to measure capabilities. BIM is used. It should be mentioned that in the current study, the VIKOR-AHP method was developed with rough data. The results showed that the use of rough's theory along with multi-criteria decision-making methods can help the stakeholders in decision-making under conditions of uncertainty and is a starting point for research based on BIM and its management perspectives in providing the correct insight to use it in Iran's construction projects.

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Journal of Civil and Environmental Engineering

Articles in Press, Accepted Manuscript
Available Online from 19 August 2023

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