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A Knowledge-based Fuzzy Multi-criteria Evaluation Model of Construction Robotic Systems |
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ARCHITECTURAL RESEARCH(´ëÇÑ°ÇÃàÇÐȸ ³í¹®Áý), v.12 n.2 (2010-12) |
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½ÃÀÛÆäÀÌÁö(85) ÃÑÆäÀÌÁö(8) |
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A Construction Robotic System ; Fuzzy Numbers ; Knowledge-based Multi-criteria Decision-making ; System Performance Index |
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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. |