New Trends in Fuzzy Sets Theory and Their Extensions

Dear Colleagues, 

Fuzzy sets theory, since its inception in 1965, has received wide attention from academia and practitioners and has achieved significant advancements in various scientific frontiers. As a novel conceptual framework to facilitate the characterization of human-centric systems, fuzzy sets theory has been proven to be an efficient and powerful tool in modelling human centricity featured in intelligent systems that accomplish advancements of computational intelligence in many domains, such as data mining, data analytics, image understanding and interpretation, recommender systems, explainable artificial intelligence (XAI), etc.

Computing with fuzzy sets has been the central task when it comes to the theoretical development of fuzzy sets theory, and granular computing has offered processing principles that open new frontiers to deal with it as being well elaborated in Prof. Witold Pedrycz’s recently published monograph entitled “An Introduction to Computing with Fuzzy Sets: Analysis, Design, and Applications”. The goal of this Special Issue is to further explore the new trends of fuzzy sets theory in emerging research fields of computational intelligence and the new frontiers that promote a broad and up-to-date understanding of fuzzy-sets-theory-based extensions and applications. The entire academic community has witnessed the gradual paradigm shift of fuzzy sets theory in both its theoretical and methodological aspects, as well as its applications in a variety of disciplines of science and engineering.

The Special Issue welcomes original contributions that advance the state-of-the-art fuzzy-sets-theory-based concepts, methodologies, algorithms and applications in several emerging and related topics. Special attention of this Special Issue will be paid to the following research topics: a) new fuzzy representation models, b) fuzzy machine learning, c) granular fuzzy models, d) data-driven fuzzy modeling, e) fuzzy information fusion and aggregation functions, f) fuzzy logic, and g) fuzzy set theory-based applications in science and engineering.

Dr. Zhen-Song Chen
Prof. Dr. Witold Pedrycz
Dr. Lesheng Jin
Dr. Rosa M. Rodriguez
Prof. Dr. Luis Martínez López
Guest Editors

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