Here the uncertainties are managed by interval type2 fuzzy set (IT2FS). The human vision model called human psychovisual phenomenon (HVS) is incorporated in the process for generating the interval type-2 fuzzy membership functions (IT2FMF). The efficiency of the proposed scheme is measured on ...
Baklouti N, John R, Alimi AM (2012) Interval type-2 fuzzy logic control of mobile robots. J Intel Learn Syst Appl 4:291-302Alimi, Type-2 Fuzzy Logic Control of Mobile Robots - Baklouti, M - 2012 () Citation Context ...pdate using a fuzzy logic system. The big difference between...
interval type-2 fuzzy sets when 1) the knowledge used to establish rules is mined from experts who have different understandings of the same words [6], [7], or 2) the FLS is used to describe a complex process the nature of which cannot ...
This paper presents an interval type-2 fuzzy logic (IT2FL) controlled single-phase enhanced power quality-based photovoltaic distributed generation (PVDG) system. The objective of this paper is to develop a PV inverter with the features of real power injection and power quality enhancement (PQE)...
Interval Type 2 Fuzzy Controller, simple implementation (https://www.mathworks.com/matlabcentral/fileexchange/66578-interval-type-2-fuzzy-controller-simple-implementation), MATLAB Central File Exchange. Retrieved February 28, 2025. MATLAB Release Compatibility Created with R2017a Compatible with any...
Index Terms—Interval type-2 fuzzy sets, nonsingleton fuzzy logic systems, time-series forecasting, tuning of parameters, type-2 fuzzy logic systems, upper and lower membership functions. I. INTRODUCTION FUZZY logic system (FLS) (also known as a fuzzy system, fuzzy logic controller, etc) ...
type-1 fuzzy T-S model. Then the type-2 fuzzy T-S model is obtained from the type-1 model through unconstrained optimization where the Nelder-Mead Simplex method is utilized.Finally, the results of the experiment prove the efficiency of the proposed algorithm. ...
An evolutionary architecture was proposed to generate the rule base and to optimize the membership functions of a type-2 Fuzzy Classification System The proposed architecture is composed of three stages. In the first stage of the architecture, a Genetic Algorithm generates the rule base of the ...
In this paper, a systematic design approach of fuzzy sliding mode control is presented in which the gains of the switching part and the slopes of the sliding surface of the standard sliding mode controller are provided by interval type-2 fuzzy systems for the 6DoF robot arm. In order to bet...
For this reason, type-2 fuzzy logic control is proposed in this study. Block diagrams of a type-1 fuzzy logic system (T1FS) and a type-2 fuzzy logic system (T2FS) are presented in Figure 3. Both systems operate on the same fundamental principle. Nevertheless, there are some significant...