14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2012. Catania, Italy, July 9-13, 2012. Proceedings, Part IV. — Springer-Verlag Berlin Heidelberg, 2012. — 707 p. — ISBN 978-3-642-31723-1 e-ISBN 978-3-642-31724-8
We are glad to present the proceedings of the IPMU 2012 conference (International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems) held in Catania, Italy, during July 9–13, 2012. The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. This conference provides a medium for the exchange of ideas between theoreticians and practitioners in these and related areas. This was the 14th edition of the IPMU conference, which started in 1986 and has been held every two years in the following locations in Europe: Paris (1986), Urbino (1988), Paris (1990), Palma de Mallorca (1992), Paris (1994), Granada (1996), Paris (1998), Madrid (2000), Annecy (2002), Perugia (2004), Paris (2006), Malaga (2008), Dortmund (2010). Among the plenary speakers of past IPMU conferences there are three Nobel Prize winners: Kenneth Arrow, Daniel Kahneman, Ilya Prigogine.
The program of IPMU 2012 consisted of six invited talks together with 258 contributed papers, authored by researchers from 36 countries, including the regular track and 35 special sessions. The invited talks were given by the following distinguished researchers: Kalyanmoy Deb (Indian Institute of Technology Kanpur, India), Antonio Di Nola (University of Salerno, Italy), Christophe Marsala (Universit´e Pierre et Marie Curie, France), Roman Slowinski (Poznan University of Technology, Poland), Tomohiro Takagi (Meiji University, Japan), Peter Wakker (Erasmus University, The Netherlands). Michio Sugeno received the Kamp´e de F´eriet Award, granted every two years on the occasion of the IPMU conference, in view of his eminent research contributions to the handling of uncertainty through fuzzy measures and fuzzy integrals, and fuzzy control using fuzzy systems.