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 or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators.

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.