Atlantis Studies in Uncertainty Modelling
The ISSN for ASUM (online) is: 2589-6644
Aims and Scope
The series Studies in Uncertainty Modelling publishes conference proceedings with unpublished original research advances of theoretical as well as application-oriented work focused on distinct aspects and essences of uncertainty modelling and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.
Intelligent Systems, Information Processing, Decision Support Systems, Databases, Information Retrieval, Information Fusion, Image Processing, Agents, Pattern Recognition, Optimization, Control.
Dr. Humberto Bustince
Universidad Pública de Navarra, Pamplona, Spain
Prof. Guoqing Chen
Tsinghua University School of Economics and Management,
firstname.lastname@example.org , email@example.com
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