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.