A situation assessment approach using support vector machine as a learning tool

Abstract

In order to assess a situation and support decision makers' awareness for the situation, this study first proposes a situation assessment model with mathematical description. It then develops a Support Vector Machine based assessment approach, which has the ability to learn the rules from the previous assessment results and generate necessary warnings for a situation. Finally, a set of experiments is conducted to illustrate and validate the proposed approach.