Graded associations in situation awareness
Trevor Martin, Ben Azvine · 2017
Situation awareness can be roughly defined as the comprehension of relevant events, the identification of possible actions plus the ability to predict the future evaluation of events in the light of these actions. The current data-rich world is ideal for a collaborative intelligence approach to situation awareness, in which machines perform repetitive filtering and processing of data while human analysts focus on higher-level tasks of analysing and predicting events. A key aspect of collaborative intelligence is the representation used to exchange information between human and machine. In this paper, we argue that graded representations are ideal for this purpose, and propose a novel and powerful approach combining x-mu fuzzy sets with formal concept analysis to model approximate concepts and associations.