International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS)
The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS) 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.
- 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
Abstracting/Indexing
- Science Citation Index Expanded (also known as SciSearch®)
- ISI Alerting Services
- CompuMath Citation Index®
- Current Contents®/Engineering, Computing & Technology
- ACM Guide to Computing Literature
- Mathematical Reviews
- INSPEC
- Zentralblatt MATH
|
|
|
