The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

Scope of the journal (from the journal webpage)

The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical, methodological or practical works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators. Topics of interest include but are not limited to:

Methods

Representation of Commonsense Knowledge
Knowledge Representation by Fuzzy Sets
Possibility Theory
Fuzzy Logics
Mathematical Theory of Evidence
Bayesian and Probabilistic Methods
Default Reasoning
Nonstandard Logics

Domains of Application

Expert Systems
Decision-Making Systems
Intelligent Control
Pattern Recognition and Cluster Analysis
Image Processing
Robotics
Artificial Neural Networks
Acquisition of Imperfect Knowledge
Information Updating
Conflict Resolution
Databases
The journal does not accept papers on pure fuzzy mathematics, such as fuzzy topology or fuzzy algebra.