Evaluation of Marine Emergency Rescue Ability Based on Fuzzy Network Analysis
- 10.2991/ifeesm-17.2018.224How to use a DOI?
- Interpretation Structure Model Method; Network Analysis Method; Fuzzy Comprehensive Evaluation; Evaluation of Maritime Rescue Capability
The evaluation of the rescue capability of the maritime department plays an important role in improving the emergency rescue capability of maritime emergencies and optimizing the emergency management of emergencies, which can reduce the occurrence of similar emergencies at sea. But the emergency rescue operations at sea are complex and random, which leads to the complexity of the assessment process of emergency rescue capability at sea. In this paper, we use the explanatory structural model method (ISM) to analyze the relationship between the evaluation indexes of maritime rescue ability, and then use the network analysis method to determine the weight of each index. Considering the feedback relationship between indicators, the weight of the index is determined reasonably and the model Scientific and reliability, combined with fuzzy comprehensive evaluation method to evaluate the ability to rescue. Maritime departments can be based on the evaluation results combined with the weight of indicators, targeted to improve, and thus effectively improve the maritime emergency rescue capabilities.
- © 2018, 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/).
Cite this article
TY - CONF AU - Xuancheng Zhang AU - Chunhui Zhou AU - Jingqun Huo AU - Shirui Ren AU - Jirong Jiang AU - Zhiqi Li AU - Yinben Zhang PY - 2018/02 DA - 2018/02 TI - Evaluation of Marine Emergency Rescue Ability Based on Fuzzy Network Analysis BT - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017) PB - Atlantis Press SP - 1221 EP - 1232 SN - 2352-5401 UR - https://doi.org/10.2991/ifeesm-17.2018.224 DO - 10.2991/ifeesm-17.2018.224 ID - Zhang2018/02 ER -