Probability and statistics were the only well-founded theories of uncertainty for a long time. However, during last forty years, in such areas like decision theory, artificial intelligence or information processing, numerous approaches extending or orthogonal to the existing theory of probability and mathematical statistics have been successfully developed. These new approaches have appeared, either on their own like fuzzy set theory, possibility theory, rough sets, or having their origin in probability theory itself, like imprecise probability, belief functions, fuzzy random variables.

The common feature of all those attempts is to allow for a more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The proposed new methods are softer than the traditional theories and techniques because being less rigid they more easily adapt to the actual nature of information.

Wide range of applications still reveals the need for soft extensions of classical probabilistic and statistics tools. 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 which better capture all kinds of the information contained in data. Also, in science and engineering the need to analyze and model the true uncertainty associated with complex systems requires a more sophisticated representation of ignorance than that provided by uninformative Bayesian priors.

Several years ago, the need was felt to establish a recurrent forum for exchanging of ideas and discussing new trends that enlarge the statistical and uncertainty modeling traditions, towards a flexible and more specific handling of incomplete or subjective information. This idea resulted in a series of biannual international conferences on Soft Methods in Probability and Statistics (SMPS), organized for the first time in Warsaw in 2002. Subsequent events in this series took place in Oviedo (2004), Bristol (2006), Toulouse (2008), Oviedo/Mieres (2010) and Konstanz (2012).

The 7th International Conference on Soft Methods in Probability and Statistics - SMPS 2014 returns to Warsaw, the capital of Poland. The conference will be organized by the Polish Operational and Systems Research Society, Systems Research Institute of the Polish Academy of Sciences and the Faculty of Mathematics and Information Science of Warsaw University of Technology.

The aim of the conference is to bring together theoreticians and practitioners working on soft probability, statistics and data analysis. Topics and scope of the SMPS conference include but are not limited to:

  • Analysis of Censored Data
  • Analysis of Fuzzy Data
  • Clustering and Classification
  • Dempster-Shafer Theory
  • Fuzzy Random Variables
  • Fuzzy Regression Methods
  • Graphical Models
  • Imprecise Probabilities
  • Machine Learning
  • Possibility Theory
  • Random Sets/Random Fuzzy Sets
  • Robust Statistics
  • Rough Sets in Data Analysis
  • Soft Computing and Statistics
  • Statistical Software for Imprecise Data
  • Triangular Norms and Copulas

Former SMPS Conferences