Robotics and Machine Learning
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City University of Hong Kong publishes research in automation science
August 2nd, 2010
According to recent research published in the journal Automation in Construction, "Nowadays, the participants in construction industry are facing pressure to meet the higher customer expectations under a tighter budget. On the other hand, an effective and efficient material supplier selection system has a significant effect in the business success of property developers."
"The aim of this study is to investigate a selection model based on Fuzzy Principal Component Analysis (PCA) for solving the material supplier selection problem from the perspective of property developers. First, the Triangular Fuzzy Numbers is used to quantify the decision makers' subjective...
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Source: Robotics and Machine Learning (2010-08-02)