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http://dx.doi.org/10.5391/JKIIS.2006.16.3.291

Fuzzy Colored Timed Petri Nets for Context Inference  

Lee Keon-Myung (School of Electrical and Computer Engineering, Chungbuk National University and AITrc)
Lee Kyung-Mi (RICIC, Chungbuk National University)
Hwang Kyung-Soon (School of Electrical and Computer Engineering, Chungbuk National University and AITrc)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.3, 2006 , pp. 291-296 More about this Journal
Abstract
In context-aware computing environment, some context is characterized by a single event, but many other contexts are determined by a sequence of events which happen with some timing constraints. Therefore context inference could be conducted by monitoring the sequence of event occurrence along with checking their conformance with timing constraints. Some context could be described with fuzzy concepts instead of concrete concepts. Multiple entities may interact with a service system in the context-aware environments, and thus the context inference mechanism should be equipped to handle multiple entities in the same situation. This paper proposes a context inference model which is based on the so-called fuzzy colored timed Petri net. The model represents and handles the sequential occurrence of some events along with involving timing constraints, deals with the multiple entities using the colored Petri net model, and employs the concept of fuzzy tokens to manage the fuzzy concepts.
Keywords
context inference; Petri net; fuzzy colored Petri net; fuzzy token;
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