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Ghousi, Rouzbeh, Masoumi, AmirHossein, Makui, Ahmad. (1400). Prediction of Accident Occurrence Possibilityby Fuzzy Rule-Based and Multi-Variable Regression (Case Study: Lift Trucks). , 55(2), 191-201. doi: 10.22059/jieng.2021.328736.1797
Rouzbeh Ghousi; AmirHossein Masoumi; Ahmad Makui. "Prediction of Accident Occurrence Possibilityby Fuzzy Rule-Based and Multi-Variable Regression (Case Study: Lift Trucks)". , 55, 2, 1400, 191-201. doi: 10.22059/jieng.2021.328736.1797
Ghousi, Rouzbeh, Masoumi, AmirHossein, Makui, Ahmad. (1400). 'Prediction of Accident Occurrence Possibilityby Fuzzy Rule-Based and Multi-Variable Regression (Case Study: Lift Trucks)', , 55(2), pp. 191-201. doi: 10.22059/jieng.2021.328736.1797
Ghousi, Rouzbeh, Masoumi, AmirHossein, Makui, Ahmad. Prediction of Accident Occurrence Possibilityby Fuzzy Rule-Based and Multi-Variable Regression (Case Study: Lift Trucks). , 1400; 55(2): 191-201. doi: 10.22059/jieng.2021.328736.1797

Prediction of Accident Occurrence Possibilityby Fuzzy Rule-Based and Multi-Variable Regression (Case Study: Lift Trucks)

Advances in Industrial Engineering
دوره 55، شماره 2، تیر 2021، صفحه 191-201    اصل مقاله (1.14 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jieng.2021.328736.1797
نویسندگان
Rouzbeh Ghousi* ؛ AmirHossein Masoumi؛ Ahmad Makui
School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran.
چکیده
Uncertain and stochastic conditions of accidents could affect the risk and complexity of decisions for managers. Accident prediction methods could be helpful to confront these challenges. Fuzzy inference systems (FIS) have developed a new attitude in this field in recent years. As lift truck accidents are one of the main challenges that industries face worldwide, this paper focuses on predicting the possibility of these types of accidents. At first, the data collection is done by using interviews, questionnaires, and surveys. A FIS approach is proposed to predict the possibility of lift truck accidents in industrial plants. Furthermore, our approach is validated using data from many real cases. The results are approved by the multivariate logistic regression method. Finally, the output of the fuzzy and logit models is compared with each other. The re-validation of the fuzzy control model and high consistent of the output of these two models is presented.
کلیدواژه‌ها
Accident Prediction؛ Fuzzy Inference System (FIS)؛ Multivariate Logistic Regression؛ Lift Truck Accident
مراجع
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