MCDM 2017 - 2017 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM'2017)

IEEE MCDM'2017 will be held simultaneously with over 30 other symposia and workshops in one location at the 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017). This international event promotes all aspects of the theory and applications of computational intelligence. Sponsored by the IEEE Computational Intelligence Society, this event will attract top researchers, professionals, practitioners and students from around the world. The registration to SSCI 2017 will allow participants to attend all the symposia, including the complete set of the proceedings of all the meetings, coffee breaks, lunches, and the banquet.
Topics
IEEE MCDM'2017 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
Accuracy-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
Integration of MOO, ML, DM, and IV to support Multicriteria Decision Making