FLINS-ISKE 2024 : 16th FLINS Conference on Computational Intelligence in Decision and Control - The 19th ISKE Conference on Intelligence Systems and Knowledge Engineering

FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.

FLINS 2024 is the 16th in a series of conferences on applied computational intelligence. It follows the successful FLINS 1994 and 1996 (Mol, Belgium), FLINS 1998 (Antwerp, Belgium), FLINS 2000 (Bruges, Belgium), FLINS 2002 (Ghent, Belgium), FLINS 2004 (Blankenberge, Belgium), FLINS 2006 (Genova, Italy), FLINS 2008 (Madrid, Spain http://www.mat.ucm.es/congresos/flins/), FLINS 2010 (Chengdu, China), FLINS 2012 (Istanbul, Turkey), FLINS 2014 (Paraíba, Brasil), FLINS 2016 (Roubaix, France), FLINS 2018 (Belfast, North Ireland), FLINS 2020 (Cologne, Germany) and FLINS 2022 (Tianjin, China).

The principal missions of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between Universities and international research institutions, by encouraging interdisciplinary research and bringing multi-discipline researchers together.

ISKE, an acronym originally for Intelligent Systems and Knowledge Engineering, was launched in 2006 aiming to give researchers the opportunity to carry out future-oriented research in applied intelligent systems to real-world engineering problems. For more than seventeen years, ISKE has bevome into a well-estrablished worldwide and multidisciplinary research environment to advance the foundations and applications of Artifical Intelligence (AI) in engineering systems.

The 2024 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2024) is the 19th in a series of ISKE conferences, ISKE 2024 follows the successful ISKE 2006 in Shanghai (China), ISKE 2007 in Chengdu (China). ISKE 2008 in Xiamen (China), ISKE 2009 in Hasselt (Belgium), ISKE 2010 in Hangzhou (China), ISKE 2011 in Shanghai (China), ISKE 2012 in Beijing (China), ISKE 2013 in Shenzhen (China), ISKE 2014 in Joao Pessoa (Brazil), ISKE 2015 in Taipei (China), ISKA 2016 in Roubaix (France), ISKE 2017 in Nanjing (China), ISKE 2018 in Belfast, ISKE 2019 in Dalian (China), ISKE 2020 in Cologne (Germany), ISKE 2021 in Chengdu (China), ISKE 2022 in Tianjin (China), ISKE 2023 in Fuzhou (China), and will be held on July 16-21, 2024, Madrid (Spain) as a joint conference with the 16th International FLINS Conference on Applied Computational Intelligence.

Topics of Interest (but not limited to): artificial neural networks, classification, clustering, computing with words, decision-making, evolutionary/genetic algorithms, expert systems, feature extraction, fuzzy systems, geographic information systems, intelligent systems, machine learning, optimization, soft computing, and applications related to these topics as water, energy and environmental management, etc.


The list of accepted Special Sessions:

1. Industrial Applications of Artificial Intelligence.
2. Information Fusion Techniques Based on Aggregation Functions, Pre-aggregation Functions, and Their Generalizations.
3. Rough Sets: Theory, Applications, and Related Tools.
4. Dispersion, Consensus and Polarization Measures.
5. Artificial Intelligence and Data-driven Techniques Applied to Operation, Control and Maintenance of Marine Energy Systems.
6. Synergy of Machine Learning and Soft Computing in Applications.
7. Recommended Systems Supported by Computational Intelligence: Emerging Topics and Applications.
8. Advances in Reasoning Based Rational Decision Making.
9. Data-Driven Approaches in Large-Scale Group Decision-Making: Innovations, Challenges, and Applications.
10. Artifical Intelligence in Marketing.
11. Multicriteria Decision Making.
12. Autonomous Learning in Uncertain Decision Situations.
13. Evolving Deep and Transfer Learning Models for Computer Vision and Medical Imaging.
14. Trustworthy Federated Continual Learning.
15. Efficient and Scalable Incremental learning.
16. Data and Knowledge Enhance Learning.
17. Three-way Decision and Granular Computing.
18. Logic and Intelligent Agent.
19. Explainable Artificial Intelligence under Small Data.