Study of Vessel Oil Spill Damage Evaluating Model Based on the ANFIS

DOI

10.2991/eers-15.2015.5How to use a DOI?

Keywords

vessel oil spill; the adaptive neural fuzzy inference system; damage assessment; model simulation

Abstract

Considering the randomness and complexity of vessel oil spill accidents, the oil spill quantity, clean-up response, the oil spill area and the environment sensitivity were taken as the influencing factors through the analytic hierarchy process. Based on the study of the Adaptive Neural Fuzzy Inference System(ANFIS), a nonlinear fuzzy model to evaluate oil spill damage was established. Combined with the oil spill data assembled by the International Oil Pollution Compensation Fund (IOPCF), the model simulation and prediction for vessel oil spill damage has been made. The fact validates the feasibility of the ANFIS evaluating model in vessel oil spill compensation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuanyuan Li
AU  - Pengjun Zheng
PY  - 2015/09
DA  - 2015/09
TI  - Study of Vessel Oil Spill Damage Evaluating Model Based on the ANFIS
BT  - Proceedings of the 2015 International Conference on Environmental Engineering and Remote Sensing
PB  - Atlantis Press
SP  - 17
EP  - 20
SN  - 2352-538X
UR  - https://doi.org/10.2991/eers-15.2015.5
DO  - 10.2991/eers-15.2015.5
ID  - Li2015/09
ER  -