A Knowledge-based Fuzzy Multi-criteria Evaluation Model of Construction Robotic Systems

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human opera-tions. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing con-struction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model em-ploys linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts ’ or decision makers ’ subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model’s ca-pacities and imply the application to other extended types of construction robotic systems