Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.Fundamental Issues in Uncertainty.- Epistemology probabilized.- Stochastic independence for upper and lower probabilities in a coherent setting.- Qualitative possibilistic independence based on plausibility relations.- Independence concepts for belief functions.- Conditional possibility and necessity.- The membership problem for probabilistic and data dependencies.- Belief functions induced by randomized communication channels.- Quantifying the correlation between two interval-valued random sets.- How information measure changes due to unreliability.- Aggregation Methods.- On the aggregation of some classes of fuzzy relations.- Ordinal sums of aggregation operators.- Aggregatlƒ-