Online spatio-temporal Fuzzy relations
Résumé
The democratization of localization sensors allows to get the coordinates of mobile entities at a cheap cost but with a variable precision. Mobile devices are almost all equipped with such sensors and it is now possible to locate humans, animals or vehicles in order to monitor their activities. In this paper, we present fuzzy online relations which allow to describe some behaviors of a mobile entity from its coordinates and regarding a spatial region described as a crisp or a fuzzy geometry. Those operators are used within a fuzzy expert system in order to make decisions like yielding alerts, summarizing activities or assessing performance measures, regarding the behavior of localized entities.
Mots clés
Artificial intelligence
fuzzy logic
sensor
localization sensor
mobile entity localization
Mobile device
online learning
machine learning
fuzzy online relations
fuzzy geometry.
fuzzy expert system
ExpressIF
decision
yielding alert
performance assessment
Trustworthy Artificial intelligence
Monitoring
Trajectory
Uncertainty
Global Positioning System
Semantics
Intelligent sensors
Fuzzy Relation
Spatial Regions
Cheaper Cost
Membership Function
Fuzzy Set
Present Moment
Traffic Light
Disjunction
Temporal Domain
Definite Relationship
Spatiotemporal Relationship
Spatial Uncertainty
Temporal Uncertainty
Temporal Operators
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