In this paper, an interval type-2 evolving fuzzy Kalman filter (IT2EFKF) is designed for
processing unobservable spectral components of uncertain experimental data. The primary …

Personal assistants and social robotics have evolved significantly in recent years thanks to
the development of artificial intelligence and affective computing. Today's main challenge is …

This paper presents a computational model based on interval type-2 fuzzy systems for
analysis and forecasting of COVID-19 dynamic spreading behavior. The proposed …

In this study, a novel distributed Kalman filter based on a possibilistic framework was
proposed to mitigate fuzzy noisein nonlinear multiagent systems. To describe fuzzy …

In this work, a new methodology for the dynamic analysis of non-linear systems is developed
by applying the Mamdani fuzzy model. With this model, parameters such as settling time …

In this paper, an interval type-2 evolving fuzzy Kalman filter is designed for processing of
unobservable spectral components of uncertain experimental data. The adopted …

The simultaneous consideration of a numerical model and of different observations can be
achieved using data-assimilation methods. In this contribution, the ensemble Kalman filter …

In this study, a distributed fuzzy filter is proposed for a non‐linear state estimation problem
on the possibilistic framework. Firstly, instead of Gaussian distribution on the probability …

The simultaneous consideration of a numerical model and of different observations can be
achieved using data-assimilation methods. In this contribution, the ensemble Kalman filter …