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

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Ghousi Rouzbeh; Masoumi AmirHossein; MAKUI AHMAD

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Journal Paper

Paper Information

Journal: ADVANCES IN INDUSTRIAL ENGINEERING Year:2021 | Volume:55 | Issue:2 Page(s): 191-201

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Information Journal Paper

Title

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

Author(s)

Ghousi Rouzbeh | Masoumi AmirHossein | MAKUI AHMAD | Issue Writer Certificate

Keywords

Accident Prediction

Fuzzy Inference System (FIS)

Multivariate Logistic Regression

Lift Truck Accident

Abstract

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. An 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.

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APA: Copy

Ghousi, Rouzbeh, Masoumi, AmirHossein, & MAKUI, AHMAD. (2021). Prediction of Accident Occurrence Possibility by Fuzzy Rule-Based and Multi-Variable Regression (Case Study: Lift Trucks). ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 55(2), 191-201. SID. https://sid.ir/paper/994736/en

Vancouver: Copy

Ghousi Rouzbeh, Masoumi AmirHossein, MAKUI AHMAD. Prediction of Accident Occurrence Possibility by Fuzzy Rule-Based and Multi-Variable Regression (Case Study: Lift Trucks). ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2021;55(2):191-201. Available from: https://sid.ir/paper/994736/en

IEEE: Copy

Rouzbeh Ghousi, AmirHossein Masoumi, and AHMAD MAKUI, “Prediction of Accident Occurrence Possibility by Fuzzy Rule-Based and Multi-Variable Regression (Case Study: Lift Trucks),” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 55, no. 2, pp. 191–201, 2021, [Online]. Available: https://sid.ir/paper/994736/en

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