Analysis of Occupational Accident for Construction Industry by Using Decision Tree
碩士 === 國立臺北商業大學 === 資訊與決策科學研究所 === 106 === The construction industry is considered as a high-risk industry. According to the statistics, the number of occupational disasters in construction industry is significantly higher than that of other types of industry. In this study, we analyzed the statisti...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/m4qe88 |
| Summary: | 碩士 === 國立臺北商業大學 === 資訊與決策科學研究所 === 106 === The construction industry is considered as a high-risk industry. According to the statistics, the number of occupational disasters in construction industry is significantly higher than that of other types of industry. In this study, we analyzed the statistical data of occupational disasters in construction disasters. In this study we used the engineering related information as input variables and occupational hazards prevention attitude as the output variable. A CHAID (Chi-Square Automatic Interaction Detector) classification decision tree model was chosen to established the decision rules.
Those rules determine the priority consultation consider in the construction industry. Decision tree model has produced a total output of 11 decision rules, This study use these decision rules to determine the priority of construction engineering.
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