Paper Info
Title
Graded associations in situation awareness.
Abstract
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.
Year
Venue
Keywords
2017
Joint International Conference on Soft Computing and Intelligent Systems SCIS and International Symposium on Advanced Intelligent Systems ISIS
fuzzy associations,x-mu fuzzy sets,fuzzy formal concept analysis
Field
DocType
ISSN
Fuzzy formal concept analysis,Situation awareness,Computer science,Filter (signal processing),Fuzzy set,Artificial intelligence,Formal concept analysis,Collaborative intelligence,Comprehension,Machine learning
Conference
2377-6870
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Trevor P. Martin113426.98
Ben Azvine210.73