This special issue aims 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. The major goal of this issue is to disseminate the latest international research findings in the areas of fuzzy logic, machine learning and data mining.
Suitable topics include, but are not limited to, the following:
- Fuzzy logic techniques and algorithm
- Neural networks and genetic algorithm in data mining
- Fuzzy mathematics
- Data and knowledge representation for data mining
- Fuzzy and evolutionary computation
- Fuzzy neural systems, neuro-fuzzy systems
- Fuzzy neural networks, genetic algorithms, graph theory and other hybrid machine intelligence techniques
- Classification and clustering
- Machine learning and data mining
- Image/audio/video compression and retrieval
- Swarm and evolutionary computation
- Hybrid fuzzy systems (fuzzy-neuro-evolutionary-rough)
- Intelligent information retrieval
- Human-machine interaction
- Advanced biologically inspired computational intelligence
- Pattern recognition
- Optimisation algorithms
- Knowledge mining and discovery
- Computer vision
Important Dates
Submission of manuscripts: 1 March, 2015
Notification to authors: 1 June, 2015
Final versions due: 1 July, 2015
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