3rd International Conference of the ERCIM WG on
10-12 December 2010, Senate House, University of London, UK

Fuzzy Statistical Analysis


Fuzzy sets are considered to describe different sources of imprecision in connection with both empirical data (especially linguistic data, expert opinions/judgments/perceptions, as well as various kinds of ill-observed statistical data) and/or models for data analysis. The fuzzy statistical analysis is nowadays applied in different sciences, as Economics, Biomedicine, Bioinformatics, Ecology, Geology, etc. to manage complex problems involving heterogeneous information. Special (but not exclusive) topics are regression, cluster analysis and inference with fuzzy data. In spite of the impact of this growing literature, there is room for further developments in several directions, including foundations, methodology and applications of the use of fuzzy sets in Statistics.


This track offers a forum for discussing and comparing different viewpoints and proposals in this area. Particular topics for contributions of this track are:

Full papers containing a strong computational or data analytic component will be considered for publication in the journal Computational Statistics and Data Analysis. All submissions must contain original unpublished work not being considered for publication elsewhere. Submissions will be refereed according to standard procedures for CSDA.