Fuzzy Sets, Systems and Decision Making

The Fuzzy Sets, Systems and Decision Making section of Mathematics aims at disseminating and communicating fuzzy-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 decision making; 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 the quality of results are only achievable if the 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 theoretical advances in fuzzy sets, systems and decision making and corresponding impactful industry 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:
  • Mathematics of fuzzy sets and their extensions (intuitionistic fuzzy sets; hesitant fuzzy sets; type-2 fuzzy sets);
  • Type-1 fuzzy and/or type-2 logic/models/applications;
  • Theoretical analysis and hybridizations in FL (type-1 and type-2 FL);
  • Fuzzy control;
  • Fuzzy neural systems;
  • Genetic fuzzy systems;
  • Fuzzy modeling/Intelligent data analysis;
  • Fuzzy database mining and financial forecasting;
  • FL-based decision modeling;
  • Decision making under uncertainty;
  • Consensus modeling;
  • Opinion evolution;
  • Aggregation operators of uncertain information;
  • Adaptive fuzzy systems/uncertainty management;
  • Computational intelligence/learning;
  • Pattern recognition/image processing;
  • 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. Dr. Francisco Chiclana
Section Editor-in-Chief