Over the last thirty years there has been a growing interest in extending the theory of probability and statistics to allow for more flexible modeling of imprecision, uncertainty, vagueness and ignorance. Most such extensions result in a "softening" of the classical theory, permitting imprecision in probability judgements, and incorporating fuzzy constraints and events. Many approaches utilise concepts, tools and techniques developed in theories such as fuzzy set theory, possibility theory, imprecise probability theory and Dempster-Shafer theory.
The need for soft extensions of probability theory is becoming apparent in a wide range of application areas. For example, in data analysis and data mining it is becoming increasingly clear that integrating fuzzy sets and probability can lead to more robust and interpretable models that better capture all the information contained in the given data. Also, in science and engineering the need to analyse and model the true uncertainty associated with complex systems requires a more sophisticated representation of ignorance than that provided by uninformative Bayesian priors.
Soft Methods in Probability and Statistics (SMPS) 2010 will be organized by the European Centre for Soft Computing (ECSC), Mieres (Asturias), Spain, and held in the facilities of the University of Oviedo in Oviedo and Mieres (see venue). This is the fifth of a series of biennial conferences, starting in 2002.
SMPS 2010 aims to provide a forum for researchers to present and discuss ideas, theories, and applications. The scope of the conference is to bring together experts representing all existing and novel soft methods in probability and statistics. In particular, we would welcome papers combining probability and statistics with fuzzy logic, applications of Dempster-Shafer theory, possibility theory, generalized theories of uncertainty, generalized random elements, generalized probabilities etc.