The IS group is interested in the foundations, methodology and applications of the Fuzzy approach to Statistics. Foundation issues may include: the use of Possibility Theory in Statistics; the Least Squares approach to building statistical models for fuzzy data; the construction and utilization of Fuzzy Probabilistic Models in statistical analysis; the formal connections between concepts from Statistics/Probability and Fuzzy Sets theories; the relationship between Conditional probability and Fuzzy Information in the inferential framework; the comparison between Fuzzy Methods and traditional Statistical Methods.
The methodological domain to be investigated from a fuzzy viewpoint may encompass both exploratory and inferential techniques. The development of statistical approaches and techniques to deal with fuzzy data will be one of the key topics for the group. Another challenging topic will be focussed on the use of well-known fuzzy tools to deal with non-fuzzy data in a statistical setting. A great attention should be paid to the computational aspects and resources associated with these statistical methodologies. Interest is also extended to original applications of fuzzy statistical methods in such fields as: Economics and Finance, Social Sciences, Bio-medicine, Environmental Sciences, Technology, etc.