Modeling Personalized and Context Sensitive Behavior for Location Aware Services by Employing Fuzzy Logic

Location-aware technologies will have a great impact on potential applications in the civilian security domain. For applications involving lone worker protection or security officer’s guide, there is a need for selecting and ranking the context information from a vast amount of vague and incomplete data. Moreover, the bulk of information available is dynamic and incomplete and our preferences about certain actions are vague, ambiguous and otherwise fuzzy. A fuzzy approach for making-decisions in such an environment is facilitated by the natural accommodation of linguistic grades for all possible alternatives. The objective is to find the best alternative, which satisfies the interest and will of the user. This paper discuses the potential of fuzzy decisionmaking on ubiquitous data and demonstrates how such an approach may be employed for improving the level of services for mobile users in a context aware application where precise positioning is provided by an augmented satellite positioning system. It also presents an overview of the location-based information system and it formulates a process for making fuzzy decisions under uncertainty in a context aware environment. Key-Words: location-based services, mobile computing, navigation, guidance, context sensitive, fuzzy decision-making, security, GPS, EGNOS.