Fuzzy and rough set theories stand as two of the most prominent methodologies within the umbrella of Computational Intelligence to handle uncertainty in vague and inconsistent environments. They have enjoyed widespread success in a plethora of real-world application domains and remain at the forefront of numerous theoretical studies to consolidate and augment their well-established properties.
The second edition of the International Symposium on Fuzzy and Rough Sets (ISFUROS 2017) will take place at Valentin Perla Blanca Hotel, Santa Maria Key, in the province of Villa Clara, Cuba from October 24-26, 2017. It will be organized by the Universidad Central de Las Villas. ISFUROS 2017 aims at providing a forum for exchange on fuzzy and rough set theories and their applications. The symposium includes tutorials, invited key lectures and paper presentations.
ISFUROS 2017's goals are (1) to strengthen the relationships among researchers and institutions working on fuzzy and rough set theories, (2) to increase awareness of these topics among the Latin American research community and (3) to facilitate the contact between new researchers and consolidated groups.
Submissions of original and previously unpublished work on fuzzy and rough set theories and applications are encouraged, including but not limited to the following topics:
Fuzzy set theory
Mathematical and theoretical foundations of fuzzy sets, fuzzy measures and fuzzy integrals
Fuzzy control, robotics, sensors, fuzzy hardware and architectures
Fuzzy data analysis, fuzzy clustering, classification and pattern recognition
Type-2 fuzzy sets and computing with words
Fuzzy optimization, fuzzy heuristics, fuzzy metaheuristics
Evolving fuzzy systems
Fuzzy systems with big data and cloud computing, fuzzy analytics and visualization
Adaptive, hierarchical and hybrid (neuro- and evolutionary-) fuzzy systems
Fuzzy systems design and optimization
Fuzzy decision analysis, multi-criteria decision making and decision support
Fuzzy logic and its applications in industrial engineering
Fuzzy information processing, information extraction and fusion
Hardware/software for fuzzy systems
Fuzzy Markup Language and standard technologies for fuzzy systems
Rough set theory
Covering / neighborhood-based rough sets
Decision-theoretic rough sets
Dominance-based rough sets
Game-theoretic rough sets
Bayesian rough sets
Variable consistency / precision rough sets
Rough clustering
Rough computing
Rough mereology
Rough-set-based techniques in Pattern Recognition, Machine learning and Big Data
Rough sets in decision making
Rough sets in dimensionality reduction
Hybridization between fuzzy and rough sets
Theoretical foundations of fuzzy-rough and rough-fuzzy sets
Machine learning methods based on fuzzy-rough and rough-fuzzy sets
Decision making methods based on fuzzy-rough and rough-fuzzy sets
Granular Computing
Information granulation / degranulation methods
Granular clustering / classification methods
Interval analysis, shadowed sets, near sets, probabilistic sets, etc.
Granular frameworks / hardware / software
Applications
Astronomy
Big Data Analytics
Bioinformatics
Business Intelligence
Computer Vision
Cybernetics and Robotics
Cybersecurity
Finance / Retail / e-Commerce
Knowledge Management
Image Processing
Information Fusion
Internet of Things
Logistics
Machine Learning / Data Mining
Maritime Domain Awareness
Medicine and Health
Modeling and Simulation
Natural Language Processing
Natural Resources
Pattern Recognition
Risk Management
Security and Defense
Smart Cities
Web and Text Mining
Wireless Sensor Networks
10月24日
2017
10月26日
2017
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