Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2009
Abstract
Situation awareness modelling is popularly used in the command and control domain for situation assessment and decision support. However, situation models in real-world applications are typically complex and not easy to use. This paper presents a Context-aware Decision Support (CaDS) system, which consists of a situation model for shared situation awareness modelling and a group of entity agents, one for each individual user, for focused and customized decision support. By incorporating a rule-based inference engine, the entity agents provide functions including event classification, action recommendation, and proactive decision making. The implementation and the performance of the proposed system are demonstrated through a case study on a simulated command and control application.
Keywords
Situation awareness, Context awareness, Decision support, Intelligent agents
Discipline
Computer and Systems Architecture | Computer Engineering | Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Expert Systems with Applications
Volume
36
Issue
1
First Page
455
Last Page
463
ISSN
0957-4174
Identifier
10.1016/j.eswa.2007.09.061
Publisher
Elsevier
Citation
FENG, Yu-Hong; TENG, Teck-Hou; and TAN, Ah-hwee.
Modelling situation awareness for context‐aware decision support. (2009). Expert Systems with Applications. 36, (1), 455-463.
Available at: https://ink.library.smu.edu.sg/sis_research/5214
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.eswa.2007.09.061