Atlantis Studies in Uncertainty Modelling


The ISSN for ASUM (online) is: 2589-6644

Aims and Scope

The proceedings series Atlantis Studies in Uncertainty Modelling publishes conference proceedings with unpublished original research advances of theoretical as well as application-oriented work focused on distinct aspects and essences of uncertainty modelling and management, especially from the field of computational intelligence.

This series is endorsed by EUSFLAT, the European Society for Fuzzy Logic and Technology.

Topics covered by the series

Theory and Methods:

Fuzzy Sets and Fuzzy Systems, Mathematical Fuzzy Logic, Many-valued Logics and other Non-classical Logics, Uncertainty Management, Bayesian Methods and Probabilistic Reasoning, Approximate Reasoning, Information Theory, Evidence and Possibility Theory, Belief Theory, Rough Sets, Decision-making and Knowledge-based Methods, Aggregation Functions, Machine Learning, Evolutionary Computation, Neural Networks, Hybrid models Soft Methods in Data Analysis.

Application Fields:

Intelligent Systems, Information Processing, Decision Support Systems, Databases, Information Retrieval, Information Fusion, Image Processing, Agents, Pattern Recognition, Optimization, Control.

Editors (alphabetically):

Dr. Humberto Bustince

Universidad Pública de Navarra, Pamplona, Spain

Prof. Guoqing Chen

Tsinghua University School of Economics and Management, Beijing, China,

Dr. Radko Mesiar

Department of Mathematics and Desriptive Geometry, Slovak University of Technology in Bratislava, Bratislava, Slovak Republic

Prof. Dr. Gabriella Pasi

Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy

Volumes published in this series