Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Adapting Applications in Mobile Terminals Using Fuzzy Context Information
Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
Modelling and Using Imperfect Context Information
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Towards a Theory of Context Spaces
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Reasoning about Uncertain Contexts in Pervasive Computing Environments
IEEE Pervasive Computing
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Service Adaptation Using Fuzzy Theory in Context-Aware Mobile Computing Middleware
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
An Adaptive Middleware Infrastructure Incorporating Fuzzy Logic for Mobile Computing
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
An Evaluation of Query Languages for Context-Aware Computing
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Customizing mobile applications
MLCS Mobile & Location-Independent Computing Symposium on Mobile & Location-Independent Computing Symposium
Situational computing: An innovative architecture with imprecise reasoning
Journal of Systems and Software
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
An approach to data fusion for context awareness
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Modeling contextual information using active data structures
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
ECSTRA: distributed context reasoning framework for pervasive computing systems
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
Review: Situation identification techniques in pervasive computing: A review
Pervasive and Mobile Computing
An adaptive rule-based approach for managing situation-awareness
Expert Systems with Applications: An International Journal
International Journal of Metadata, Semantics and Ontologies
An adaptive mediation framework for mobile p2p social content sharing
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
Formal verification of context and situation models in pervasive computing
Pervasive and Mobile Computing
Middleware for pervasive computing: A survey
Pervasive and Mobile Computing
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Context-awareness is a key to enabling intelligent adaptation in pervasive computing applications that need to cope with dynamic and uncertain environments. Addressing uncertainty is one of the major issues in context-based situation modeling and reasoning approaches. Uncertainty can be caused by inaccuracy, ambiguity or incompleteness of sensed context. However, there is another aspect of uncertainty that is associated with human concepts and real-world situations. In this paper we propose and validate a Fuzzy Situation Inference (FSI) technique that is able to represent uncertain situations and reflect delta changes of context in the situation inference results. The FSI model integrates fuzzy logic principles into the Context Spaces (CS) model, a formal and general context reasoning and modeling technique for pervasive computing environments. The strengths of fuzzy logic for modeling and reasoning of imperfect context and vague situations are combined with the CS model's underlying theoretical basis for supporting context-aware pervasive computing scenarios. An implementation and evaluation of the FSI model are presented to highlight the benefits of the FSI technique for context reasoning under uncertainty.