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:


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

Topical Advisory Panel

Special Issues

Following special issues within this section are currently open for submissions:

Papers Published

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