| Summary: | In a dynamically monitored environment the analyst team need timely and accurate
information to conduct proactive action over complex situations. Typically, there are
thousands of reported activities in a real time operation, therefore steps are taken
to direct the analyst’s attention to the most important activity. The data fusion
community have introduced the information fusion model, with multiple situational
assessments. Each process lends itself to ranking the most important activities into a
predetermined order.
Unfortunately, the capability of a real time system can be hindered by the knowledge
limitation problem, particularly when the underlying system is processing multiple
sensor information. Consequently, the situational awareness domains may not rank
the identified situation as perfect, as desired by the decision-making resources. This thesis presents advanced research carried out to evaluate the ranking capability of
information from the situational awareness domains: perception, comprehension and
projection. The Ranking Capability Score (RCS) has been designed for evaluating
the prioritisation process. The enhanced (RCS) has been designed for addressing
the knowledge representation problem in the user system relation under a situational
assessment where the proposed number of tracking activities are dynamically shifted.
Finally, the Scheduling Capability Score was designed for evaluating the scheduling
capability of the situational awareness system.
The proposed performance metrics have been successful in fulfilling their objectives.
Furthermore, they have been validated and evaluated using an analytical approach,
through conducting a rigorous analysis of the prioritisation and scheduling processes,
despite any constraints related to a domain-specific configuration.
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