Fuzzy Set Theory
A section of Mathematics (ISSN 2227-7390).
Section Information
The Fuzzy Set Theory section of Mathematics aims at disseminating and communicating fuzzy set theory driven scientific knowledge and impactful discoveries to academia, industry, and the public worldwide. The concept of a fuzzy set, on which fuzzy logic (FL) has been built, has been proven to play an important role in (1) modeling and representing imprecise and uncertain linguistic human concepts; (2) mimicking human thinking; and (3) researchers and practitioners developing tools to model behaviors in forms that are easy to understand and implement in computer systems.
In practice, high performance and quality of results are only achievable if the theoretical research community concentrates on filling the gaps in theoretical knowledge and practitioners put the latest developments to use in their applications to address practical problems. Thus, this Section aims at attracting the latest results from researchers working on advances in fuzzy set theory and applications. These results can stem from the generation of new theoretical knowledge on the discipline itself, or via the informed design of customized fuzzy/hybrid based solutions to solve high-impact (e.g., humanitarian, environmental or economical) interdisciplinary applications.
Submissions are welcome on (but are not limited to) the following topics of interest:
Theory
Fuzzy set methodology/algorithms/mathematics
Type-1 fuzzy logic/models/applications
Type-2 fuzzy logic/models/applications
Theoretical analysis and hybridizations in FL (type-1 and type-2 FL)
Extensions of type-1 fuzzy set (intuitionistic fuzzy sets; hesitant fuzzy sets; type-2 fuzzy sets)
Fuzzy neural systems
Fuzzy modeling/Intelligent data analysis
Fuzzy database mining and financial forecasting
Fuzzy control
Fuzzy logic-based decision modeling
Decision making under uncertainty
Consensus modeling
Adaptive systems/uncertainty management
Aggregation operators of uncertain information
Algorithmic behavior
Computational intelligence/learning
Genetic fuzzy systems
Hybrid architectures
Opinion evolution
Pattern recognition/image processing
Stochastic and metaheuristic optimization
Software engineering and Intelligent agents
Soft computing in database management and information retrieval
Applications in
– Finance (FinTech)
– Ambient Intelligence
– Smart cities and smart environments
– Social networks
– Internet of Things and Internet of Beings
– Precision agriculture and remote sensing
– Optimal use of lands
– Sustainability in rural communities
– Intelligent and safe transports
– Computational biology, healthcare and medicine
– Engineering design and computer-aided engineering
– Management and business
– Education
– Information retrieval and recommender systems
– Control/robotics/computer vision
– Bioinformatics
– Biomedical applications
– Computational experiments/case studies
– Human-centric interfaces/visualization
– Learning, adaptive, and evolvable fuzzy systems
Prof. Francisco Chiclana
Section Editor-in-Chief
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Group Decision Making Based on Artificial Intelligence (Deadline: 31 July 2020)
- New Advances in Fuzzy Metric Spaces, Soft Metric Spaces, and Other Related Structures (Deadline: 30 September 2020)
- Applications of Fuzzy Optimization and Fuzzy Decision Making (Deadline: 30 September 2020)
- Applications of Mathematical Methods and Fuzzy Techniques in Decision Making (Deadline: 31 October 2020)
- Intuitionistic Fuzzy Sets and Applications (Deadline: 30 November 2020)
- Advances in Multiple Criteria Decision Analysis (Deadline: 30 November 2020)
- Abstract Metric Spaces: Usefulness in Statistics and Fixed Point Theory (Deadline: 20 December 2020)
- Analytical and Algebraic Aspects of Decision Making (Deadline: 31 December 2020)
- Fuzzy Sets, Fuzzy Logic and Their Applications 2020 (Deadline: 31 December 2020)
- Hypercompositional Algebra and Applications (Deadline: 31 December 2020)
- Advanced Fuzzy Models in Economics (Deadline: 31 January 2021)
- Fuzzy Sets and Soft Computing (Deadline: 31 January 2021)
- Fuzzy Applications in Industrial Engineering (Deadline: 28 February 2021)
- Operations Research Using Fuzzy Sets Theory (Deadline: 30 April 2021)
