Fuzzy logic for dynamic adaptation: Represent and manage changeable user states

In this paper a novel generic fuzzy adaptation tool (FAdapT) is presented. FAdapT uses fuzzy sets and a mechanism of rules over them in order to promote personalization in adaptive systems. It is applicable to systems, in which the user's changeable state and/or preferences are affected by the existing dependencies among the system's elements (like concepts, preferences, events, choices). FAdapT leads the system to make inferences about the changes of the user's state, preferences and/or choices and thus make useful adaptation decisions, offering dynamic adaptation to users' needs. To explain the operation of FAdapT, two case studies are described: an e-shop and an educational system.