[HTML][HTML] A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications

O Castillo, F Valdez, P Melin, W Ding - IEEE/CAA Journal of Automatica …, 2024 - ieee-jas.net
In this paper, we offer a review o. lpe-3 fuzzy logic systems and their applications in control.
The main objective of this work is to observe and analyze in detail the applications in the …

A new method for the design of interval type-3 fuzzy logic systems with uncertain type-2 non-singleton inputs (IT3 NSFLS-2): a case study in a hot strip mill

GM Mendez, I Lopez-Juarez… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents a new method for the construction and training of interval type-3 fuzzy
logic systems whose inputs are uncertain type-2 non-singleton numbers (IT3 NSFLS-2). The …

Interval-type 3 fuzzy differential evolution for designing an interval-type 3 fuzzy controller of a unicycle mobile robot

C Peraza, P Ochoa, O Castillo, ZW Geem - Mathematics, 2022 - mdpi.com
Recently, interval-type 3 fuzzy systems have begun to appear in different research areas.
This article outlines a methodology for the parameterization of interval type-3 membership …

Emergency shelter materials under a complex non-linear diophantine fuzzy decision support system

M Shams, AO Almagrabi, S Abdullah - Complex & Intelligent Systems, 2023 - Springer
The distribution of emergency shelter materials in emergency cases around the world is a
hard task, the goal of this research is to offer a Complex Non-linear Diophantine Fuzzy (C …

TESS: multivariate sensor time series prediction for building sustainable smart cities

L Sun, Z Zhong, C Zhang, Y Zhang, D Wu - ACM Transactions on Sensor …, 2022 - dl.acm.org
Time series analysis can help build sustainable smart cities with high energy efficiency.
Smart cities contain a large number of sensors. The sensor data are mostly complex time …

Review of type-3 fuzzy control

O Castillo, P Melin - Type-3 Fuzzy Logic in Intelligent Control, 2023 - Springer
We describe in this chapter an overview of the existing papers in the area of type-3 fuzzy
control to provide an idea of the state in which this area is at the moment. We utilized the …

The Enhanced Wagner–Hagras OLS–BP Hybrid Algorithm for Training IT3 NSFLS-1 for Temperature Prediction in HSM Processes

GM Méndez, I López-Juárez, MA Alcorta García… - Mathematics, 2023 - mdpi.com
This paper presents (a) a novel hybrid learning method to train interval type-1 non-singleton
type-3 fuzzy logic systems (IT3 NSFLS-1),(b) a novel method, named enhanced Wagner …

Type-3 Fuzzy Logic in Time Series Prediction

O Castillo, P Melin - Type-3 Fuzzy Logic in Time Series Prediction, 2024 - Springer
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