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A Knowledge-based Fuzzy Multi-criteria Evaluation Model of Construction Robotic Systems
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  • Journal title : Architectural research
  • Volume 12, Issue 2,  2010, pp.85-92
  • Publisher : Architectural Institute of Korea
  • DOI : 10.5659/AIKAR.2010.12.2.85
 Title & Authors
A Knowledge-based Fuzzy Multi-criteria Evaluation Model of Construction Robotic Systems
Yoo, Wi-Sung;
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In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction 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 employs 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 capacities and imply the application to other extended types of construction robotic systems.
A Construction Robotic System;Fuzzy Numbers;Knowledge-based Multi-criteria Decision-making;System Performance Index;
 Cited by
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