As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

Multiobjective evolutionary algorithms (MOEAs) have gained much attention due to their
high effectiveness and efficiency in solving multiobjective optimization problems (MOPs) …

Fuzzy information granules indicate sufficiently interpretable fuzzy sets for achieving a high
level of human cognitive abstraction. Furthermore, granularity, complexity, and accuracy are …

The fuzzy broad learning system (FBLS) is a recently proposed neuro-fuzzy model that
shares the similar structure of a broad learning system (BLS). It shows high accuracy in both …

Abstract Socially Assistive Robots (SARs) are increasingly used in dementia and elderly
care. In order to provide effective assistance, SARs need to be personalized to individual …

In this paper, a novel self-adaptive fuzzy learning (SAFL) system is proposed for streaming
data prediction. SAFL self-learns from data streams a predictive model composed of a set of …

In the last years, rule-based systems have been widely employed in several different
application domains. The performance of these systems is strongly affected by the process …

Finding low-cost and insightful methods to reinforce the diagnosis of Parkinson's disease is
a major challenge today, and using dynamic handwritten data may be one of the solutions …

Fuzzy associative classification has not been widely analyzed in the literature, although
associative classifiers (ACs) have proved to be very effective in different real domain …

As predicting trends in the financial market becomes more important, and artificial
intelligence technology advances, there is active research on predicting stock movements …