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Special Issue and Workshop

Special issue in International Journal of Approximate Reasoning (Elsevier, ISSN: 0888-613X) and a corresponding workshop on


Organized by Oviedo University1 and European Centre for Soft Computing


A differentiated treatment for stochastic and epistemic uncertainties is an important issue for many modeling and decision making problems. Different frameworks for representing imprecise, uncertain or vague information have been proposed (possibility theory, fuzzy sets, imprecise probabilities, etc.) The design and validation of computational intelligence systems that discover knowledge on the basis of incomplete and imprecise information, including learning algorithms, classification and regression models is deeply influenced by these representations and by the different interpretations of mathematical tools like fuzzy or random sets.

Aim of the Special Issue

The special issue aims to encourage discussion on those theoretical and methodological aspects that impact practical applications on modeling and knowledge discovery. Articles reporting on both theoretical and empirical research will be considered for inclusion, as well as survey and position papers suggesting new research directions and critiques of current trends.

Workshop Style

Selected authors of position papers will be invited as speakers in a two-day workshop that will take place on Wednesday, 16th May 2012 and Thursday, 17th May 2012 at European Centre for Soft Computing, Mieres, Asturias (Spain).

Audience members are expected to ask questions to the speakers. Each of these position papers will be accompanied with the most relevant discussions and a final rejoinder from the author.

Outcome of the workshop

Round Table: Uncertainty in Statistics

Chairman: Didier Dubois

Download outline (pdf)


Download material (pdf)

Recommended Topics

Plenary speakers


Names and contact details of the guest editors

Inés Couso
Dept. Statistics, Operational Research and M. T.
University of Oviedo
Gijón E-33002, Spain
Tel: +34 985181906
email: couso@uniovi.es

Luciano Sánchez
Dept. Computer Science
University of Oviedo
Gijón E-33002, Spain
Tel: +34 985182130
Fax: +34 985181986
email: luciano@uniovi.es

1Under Research Projects TIN2008-06681-C06-04: “Knowledge Discovery based on Evolutionary Learning: Current Trends and New Challenges (KEEL-CTNC) / Evolutionary Learning with Low Quality Data and Genetic Fuzzy Systems. Distributed High-Dimensional Data sets” and TIN2011-24302: “CI-LQD: Computational Intelligence Techniques for Modeling and Decision Making with Low Quality Data: Theoretical, Methodological and Practical Issues”