Extensions of fuzzy cognitive maps: a systematic review
R Schuerkamp, PJ Giabbanelli - ACM Computing Surveys, 2023 - dl.acm.org
Fuzzy Cognitive Maps (FCMs) are widely used to simulate complex systems. However, they
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …
A historical account of types of fuzzy sets and their relationships
A Historical Account of Types of Fuzzy Sets and Their Relationships Page 1 IEEE
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
Recommendations on designing practical interval type-2 fuzzy systems
Abstract Interval type-2 (IT2) fuzzy systems have become increasingly popular in the last 20
years. They have demonstrated superior performance in many applications. However, the …
years. They have demonstrated superior performance in many applications. However, the …
An open source Matlab/Simulink toolbox for interval type-2 fuzzy logic systems
A Taskin, T Kumbasar - 2015 IEEE Symposium Series on …, 2015 - ieeexplore.ieee.org
In the last two decades, we have witnessed that Interval Type-2 Fuzzy Logic Systems (IT2-
FLSs) have been successfully implemented in various engineering areas. In this paper, we …
FLSs) have been successfully implemented in various engineering areas. In this paper, we …
Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems
This paper presents a novel application of a hybrid learning approach to the optimisation of
membership and nonmembership functions of a newly developed interval type-2 …
membership and nonmembership functions of a newly developed interval type-2 …
Medical data classification using interval type-2 fuzzy logic system and wavelets
This paper introduces an automated medical data classification method using wavelet
transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients …
transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients …
A self-adaptive online brain–machine interface of a humanoid robot through a general type-2 fuzzy inference system
This paper presents a self-adaptive autonomous online learning through a general type-2
fuzzy system (GT2 FS) for the motor imagery (MI) decoding of a brain-machine interface …
fuzzy system (GT2 FS) for the motor imagery (MI) decoding of a brain-machine interface …
A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis
Although satellite images can provide more information about the earth's surface in a
relatively short time and over a large scale, they are affected by observation conditions and …
relatively short time and over a large scale, they are affected by observation conditions and …
Design and implementation of type-2 fuzzy logic controller for DFIG-based wind energy systems in distribution networks
Handling the uncertainties in the wind speed and the grid disturbances is a major challenge
to the DFIGs to fulfill the modern grid code requirements. This paper proposes the design …
to the DFIGs to fulfill the modern grid code requirements. This paper proposes the design …
Design and implementation of interval type-2 fuzzy logic-PI based adaptive controller for DFIG based wind energy system
KA Naik, CP Gupta, E Fernandez - … Journal of Electrical Power & Energy …, 2020 - Elsevier
In this paper, an advanced interval type-2 fuzzy logic-proportional integral (PI) controller has
been proposed for torque and voltage control loops of rotor side converter of doubly fed …
been proposed for torque and voltage control loops of rotor side converter of doubly fed …