Evaluating decision support and expert systems
Evaluating decision support and expert systems
An expert system for maritime pilots: its design and assessment using gaming
Management Science
Towards a practical method to validate decision support systems
Decision Support Systems
Automated instructor assistant for ship damage control
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Hybrid system approach to optimum design of a ship
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A computer-based decision support system for vessel fleet scheduling: experience and future research
Decision Support Systems
Damage detection of truss bridge joints using Artificial Neural Networks
Expert Systems with Applications: An International Journal
A Virtual Environment for Decision Support in Ship Damage Control
IEEE Computer Graphics and Applications
An expert system towards solving ship auxiliary machinery troubleshooting: SHIPAMTSOLVER
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Design and evaluation of an intelligent decision support system for nuclear emergencies
Decision Support Systems
CBR methodology application in an expert system for aided design ship's engine room automation
Expert Systems with Applications: An International Journal
A decision-making module for aiding ship system automation design: A knowledge-based approach
Expert Systems with Applications: An International Journal
Two-stage structural damage detection using fuzzy neural networks and data fusion techniques
Expert Systems with Applications: An International Journal
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The operational complexity of modern ships requires the use of advanced applications, called damage control systems (DCSs), able to assist crew members in the effective handling of dangerous events and accidents. In this article we describe the development of a knowledge-based decision support system (KDSS) integrated within a DCS designed for a national navy. The KDSS uses a hybrid design and runtime knowledge model to assist damage control operators through a kill card function which supports damage identification, action scheduling and system reconfiguration. We report a fire fighting scenario as illustrative application and discuss a preliminary evaluation of benefits allowed by the system in terms of critical performance measures. Our work can support further research aimed to apply expert systems to improve shipboard security and suggest similar applications in other contexts where situational awareness and damage management are crucial.