Volume 23, Number 1 (IJIEPR 2012)                   IJIEPR 2012, 23(1): 53-64 | Back to browse issues page


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Jalali Naieni G R, Makui A, Ghousi R. An Approach for Accident Forecasting Using Fuzzy Logic Rules: A Case Mining of Lift Truck Accident Forecasting in One of the Iranian Car Manufacturers . IJIEPR. 2012; 23 (1) :53-64
URL: http://ijiepr.iust.ac.ir/article-1-413-en.html

Associate Professor Industrial Engineering college, IUST , amakui@iust.ac.ir
Abstract:   (3748 Views)

Fuzzy Logic is one of the concepts that has created different scientific attitudes by entering into various professional fields nowadays and in some cases has made remarkable effects on the results of the practical researches. However, the existence of stochastic and uncertain situations in risk and accident field, affects the possibility of the forecasting and preventing the occurrence of the accident and the undesired results of it.

In this paper, fuzzy approach is used for risk evaluating and forecasting, in accidents caused by working with vehicles such as lift truck. Basically, by using fuzzy rules in forecasting various accident scenarios, considering all input variables of research problem, the uncertainty space in the research subject is reduced to the possible minimum state and a better capability of accident forecasting is created in comparison to the classic two-valued situations. This new approach helps the senior managers make decisions in risk and accident management with stronger scientific support and more reliably.

Full-Text [PDF 625 kb]   (2844 Downloads)    
Type of Study: Research | Subject: Other Related Subject
Received: 2012/03/3

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