The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti, and Ronald Yager, is a collection of selected papers drawn from IPMU'04 program, which was held in Perugia, Italy. This book is a cultural policy of IPMU conference which is focused on a narrow range of methodologies, but instead welcome all theories to the management of uncertainty and aggregation of information in intelligent systems, provide a means for exchange of ideas between the theory and practitioners in this area and relevant. This book consists of 7 parts: UNCERTAINTY PREFERENCES CLASSIFICATION AND DATA MINING AGGREGATION AND MULTI-CRITERIA DECISION MAKING KNOWLEDGE REPRESENTATION This book contributes. to increase our ability to deal effectively with uncertainty in all its manifestations. This book contributes to the goals:. efficient use of information for good decision strategy. Domain IMPLEMENTED This book contributes to improving our ability to deal effectively with uncertainty in all its manifestations. This book can help to build brigs between theory and methods for managing uncertainty. This book discusses issues that have a central position in our information-centric world. This book presents interesting results that are designated to represent knowledge: the aim is to capture the subtleties of human knowledge (wealth) and to allow manipulation of the computer (formalization). This book contributes to the objectives: efficient use of information for good decision strategy.