Developing an effective fuzzy logic model for managing risks in marine oil transport
by Yi-Zhou Li; Hao Hu; Dao-Zheng Huang
International Journal of Shipping and Transport Logistics (IJSTL), Vol. 5, No. 4/5, 2013

Abstract: The marine oil transport system calls for a long-term safety precaution mechanism for the continuous growth of the transport scale. Fuzzy logic, as a generally accepted method in risk management, is good at handling ambiguous description. However, traditional fuzzy logic has difficulties in determining the membership functions and the inference machine, especially under conditions of changing surroundings. This paper develops an improved fuzzy logic model, which is able to solve the above-mentioned problems. The model improves the normal fuzzy expert system through three loops: proactive, reactive and database improvement. The effectiveness of the improved model is demonstrated by the comparison of two scenarios of a marine oil transport case. The results show that the model can decrease the response time to external events and increase the accuracy of risk assessment.

Online publication date: Fri, 28-Feb-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Shipping and Transport Logistics (IJSTL):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com