Situation resolution with context-sensitive fuzzy relations

Gabriel Jakobson; John Buford; Lundy Lewis

doi:10.1117/12.822315

19 May 2009 Situation resolution with context-sensitive fuzzy relations

Gabriel Jakobson, John Buford, Lundy Lewis

Proceedings Volume 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing; 73520Q (2009) https://doi.org/10.1117/12.822315
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Context plays a significant role in situation resolution by intelligent agents (human or machine) by affecting how the situations are recognized, interpreted, acted upon or predicted. Many definitions and formalisms for the notion of context have emerged in various research fields including psychology, economics and computer science (computational linguistics, data management, control theory, artificial intelligence and others). In this paper we examine the role of context in situation management, particularly how to resolve situations that are described by using fuzzy (inexact) relations among their components. We propose a language for describing context sensitive inexact constraints and an algorithm for interpreting relations using inexact (fuzzy) computations.

Citation Download Citation

Gabriel Jakobson, John Buford, and Lundy Lewis "Situation resolution with context-sensitive fuzzy relations", Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520Q (19 May 2009); https://doi.org/10.1117/12.822315

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