Dear Colleagues, 

In the era of the Internet of Things and big data, the use of advanced computational intelligence approaches for the extraction of knowledge has emerged and become a process that is now required to conduct decision analyses in various application fields.

In general, the nature of the information and the reasoning processes applied to it are blurred and must be treated with the use of fuzzy-based data mining and approximate reasoning methods and techniques as applied to an increasing knowledge base and on complex models representing the real world.

This Special Issue is aimed at researchers and scholars who wish to propose fuzzy computational intelligence methods and models of knowledge extraction and approximate reasoning for application to massive and multidimensional data.

We hope this Special Issue will attract numerous researchers who will help in providing an update on the latest developments in the field of fuzzy-based computational intelligence techniques in the presence of massive data and their important applications in complex real-world problems.

Some topics that the contributions may focus on include:

• fuzzy models in time series analysis;
• fuzzy clustering models and fuzzy approaches to classify massive and multidimensional data;
• fuzzy multiobjective optimization methods in data analysis;
• hybrid approaches of fuzzy machine learning and fuzzy deep learning;
• type-2 fuzzy rule-based systems;
• fuzzy massive data fusion techniques;
• fuzzy decision making.

Prof. Dr. Ferdinando Di Martino
Prof. Dr. Bice Cavallo
Guest Editors

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• fuzzy systems
• approximate reasoning
• fuzzy data mining
• fuzzy machine learning
• massive data
• high-dimensional data
• decision making