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.