IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MCDM)

IEEE SSCI 2020 will run as a virtual conference.

Topics IEEE MCDM 2020 aims to bring together scientists, engineers and students from around the world to discuss the latest advances in the field of CI applied to issues in MCDM. Topics covered include applications of computational intelligence technologies, such as neural networks and learning algorithms, fuzzy systems, evolutionary computation, and other emerging techniques in the following or similar areas:

Multiobjective Search/Optimization (MOO)

• Multi-objective evolutionary algorithms
• Data-driven and model-based multi-objective optimization
• Multi-objective meta-heuristics (scatter, Tabu search, particle swarm optimization, ant colony etc.)
• Handling a large number of objectives
• Handling large-scale multi-objective problems

Multiobjective Machine Learning (MOML)

• Accuracy and complexity trade-off
• vAccuracy-interpretability, stability-plasticity dilemma
• Pareto-based ensemble generation
• Multi-objective parameter and structure optimization in deep learning
• Pareto-analysis of learning systems

Decision Making (DM) Techniques

• Preference elicitation and representation
• Aggregation/trade-off operators & algorithms
• Fuzzy logic based DM techniques
• Bayesian and other DM techniques
• Interactive Visualization (IV)
• Progressive aggregation methods
• Decision maker in the loop

Symposium Chairs