Knowledge Modeling for Emergency Rescue of Maritime Hazardous Chemicals Accident

DOI

10.2991/978-94-6463-262-0_114How to use a DOI?

Keywords

maritime emergency; knowledge modeling; cross-impact analysis; interpretative structural modelling

Abstract

The high-time urgency of emergency decision-making for maritime hazardous chemicals accidents requires the content and form of this knowledge to be organized in a way that facilitates decision-makers to resolve crises in a timely and creative manner. This paper proposes a CIA-ISM-based method for extracting the elements of maritime hazardous chemicals accidents, establishes a knowledge model for emergency rescue of maritime hazardous chemicals accidents, provides a more standardized and unified description of the knowledge relied on in the decision-making process of the emergency rescue of maritime hazardous chemicals accidents, further organizes the content and form of emergency rescue, and integrates the existing information advantages into decision-making advantages.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Cheng Li
AU  - Jing He
AU  - Ziteng Sun
PY  - 2023
DA  - 2023/10/09
TI  - Knowledge Modeling for Emergency Rescue of Maritime Hazardous Chemicals Accident
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 1126
EP  - 1133
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_114
DO  - 10.2991/978-94-6463-262-0_114
ID  - Li2023
ER  -