Results 111 to 120 of about 228,240 (165)
Some of the next articles are maybe not open access.
General Type-2 Fuzzy Logic Systems Made Simple: A Tutorial
IEEE Transactions on Fuzzy Systems, 2014The purpose of this tutorial paper is to make general type-2 fuzzy logic systems (GT2 FLSs) more accessible to fuzzy logic researchers and practitioners, and to expedite their research, designs, and use. To accomplish this, the paper 1) explains four different mathematical representations for general type-2 fuzzy sets (GT2 FSs); 2) demonstrates that ...
J. Mendel
semanticscholar +4 more sources
Toward General Type-2 Fuzzy Logic Systems Based on zSlices
IEEE Transactions on Fuzzy Systems, 2010Higher order fuzzy logic systems (FLSs), such as interval type-2 FLSs, have been shown to be very well suited to deal with the high levels of uncertainties present in the majority of real-world applications. General type-2 FLSs are expected to further extend this capability. However, the immense computational complexities associated with general type-2
Wagner, Christian, Hagras, Hani
semanticscholar +5 more sources
Comment on “Toward General Type-2 Fuzzy Logic Systems Based on zSlices”
IEEE Transactions on Fuzzy Systems, 2012Wagner and Hagras introduced a novel defuzzification formula in their recent paper and showed that it works very well within the framework of their general type-2 fuzzy logic systems based on zSlices ( α-plane representation). This letter aims to point out the hidden connection between the standard centroid defuzzification formula and Wagner and Hagras'
null Daoyuan Zhai, J. M. Mendel
semanticscholar +4 more sources
Transactions of the Institute of Measurement and Control, 2019
Much more attention has been focused on studying and applying general type-2 fuzzy logic systems (GT2 FLSs) in recent years. The paper designs a type of Mamdani GT2 FLS for studying forecasting problems based on the data of permanent magnetic drive (PMD) loss.
Yang Chen, Dazhi Wang
semanticscholar +4 more sources
Much more attention has been focused on studying and applying general type-2 fuzzy logic systems (GT2 FLSs) in recent years. The paper designs a type of Mamdani GT2 FLS for studying forecasting problems based on the data of permanent magnetic drive (PMD) loss.
Yang Chen, Dazhi Wang
semanticscholar +4 more sources
Discrete Non-iterative Centroid Type-Reduction Algorithms on General Type-2 Fuzzy Logic Systems
International Journal of Fuzzy Systems, 2021Since the alpha-planes expressions of general type-2 fuzzy sets (GT2 FSs) have been proposed, general type-2 fuzzy logic systems (GT2 FLSs) that are dependent on GT2 FSs are becoming quite popular to fuzzy logic researchers. Usually enhanced Karnik–Mendel (EKM) algorithms are adopted for performing the kernel block of type-reduction (TR).
Xiaomei Li, Yang Chen
semanticscholar +4 more sources
Refinement CTIN for general type-2 fuzzy logic systems
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011Triangulated irregular network (TIN) has been used for representing general type-2 fuzzy sets and gained some results of reducing computational complexity. In general, TIN-based algorithms are still complex and difficulty to deploy in applications. So, an approach based on refinement constraint TIN (CTIN) for representing general type-2 fuzzy set is ...
Long Thanh Ngo
semanticscholar +4 more sources
JuzzyPy ― A Python Library to Create Type―1, Interval Type-2 and General Type-2 Fuzzy Logic Systems
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022We present JuzzyPy, a Python based fuzzy logic toolkit enabling the creation of type-1, interval type-2, and general type-2 fuzzy logic systems. Fuzzy logic systems are being applied in disciplines across engineering and sectors such as cyber-security ...
Mohammad Sameer Ahmad, Christian Wagner
openaire +2 more sources
A Simple Matlab Simulink Model for Adaptive General Type-2 Fuzzy Logic Systems
2021 7th International Conference on Control, Instrumentation and Automation (ICCIA), 2021The type-2 (T2) fuzzy logic systems (FLSs) are widely used in control problems. In the most of control problems the dynamics of the under control plant are uncertain and the T2-FLSs are frequently used for dynamics identification. Recently, a generalized version of T2-FLSs with higher estimation capability has been presented that is called general T2 ...
Ardashir Mohammadzadeh +1 more
openaire +2 more sources
2021 Australian & New Zealand Control Conference (ANZCC), 2021
Fuzzy Inference Systems (FIS) are now widely employed to regulate a wide range of safety-critical engineering systems. The main reason for this is that FIS may be created using expert human knowledge.
Himanshukumar R. Patel, Vipul A. Shah
openaire +2 more sources
Fuzzy Inference Systems (FIS) are now widely employed to regulate a wide range of safety-critical engineering systems. The main reason for this is that FIS may be created using expert human knowledge.
Himanshukumar R. Patel, Vipul A. Shah
openaire +2 more sources
Information Sciences, 2016
This paper presents a comparative study of type-2 fuzzy logic systems with respect to interval type-2 and type-1 fuzzy logic systems to show the efficiency and performance of a generalized type-2 fuzzy logic controller (GT2FLC). We used different types of fuzzy logic systems for designing the fuzzy controllers of complex non-linear plants.
Oscar Castillo +3 more
openaire +3 more sources
This paper presents a comparative study of type-2 fuzzy logic systems with respect to interval type-2 and type-1 fuzzy logic systems to show the efficiency and performance of a generalized type-2 fuzzy logic controller (GT2FLC). We used different types of fuzzy logic systems for designing the fuzzy controllers of complex non-linear plants.
Oscar Castillo +3 more
openaire +3 more sources