About

In recent years we can observe a rapid growth of information, its sources, and methods of representation. It has caused the necessity of developing methods for storing and processing. Modern companies are characterized by the increasing complexity of used systems and the amount of data which is stored in not only one, central database, but frequently in several distributed collocations. Furthermore, sometimes the same data is replicated among multiple databases to ensure its safety. To properly manage a company that has to deal with such diversity, the effective methods of knowledge integration from distributed and autonomous sources are needed. However, the problem becomes more complex if the knowledge included in these resources is inconsistent. The question is: How to manage data (knowledge) inconsistency for an effective integration process?

The FMKI 2021 Special Session at 2021 IEEE International Conference on Fuzzy Systems is devoted to the ensemble methods for handling fuzzy-based methods for inconsistency processing and knowledge integration. Especially we will focus on the application of fuzzy theories to knowledge representation, processing, and analysis. Fuzzy techniques can help to extend well know methods from artificial intelligence, machine learning, multi-agent system and data mining field to handling knowledge integration.

Our aim is to offer an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in this area. The scope of the FMKI 2021 includes, but is not limited to the following topics:

Topics of interest

• Uncertainty in knowledge representation
• Knowledge integration
• Conflict resolution
• Handling knowledge inconsistency
• Managing evolution in fuzzy systems
• Ontology integration
• Data Fusion
• Multi-agent systems
• Data Mining