Log in

Relevant bibliographies by topics / Type-1 fuzzy logic / Journal articles

To see the other types of publications on this topic, follow the link: Type-1 fuzzy logic.

Journal articles on the topic 'Type-1 fuzzy logic'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Type-1 fuzzy logic.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Lalka, Neeru, and Sushma Jain. "Comparative Study of Type-1 Fuzzy Logic and Type-2 Fuzzy Logic." International Journal of Computer Applications 124, no. 16 (2015): 14–21. http://dx.doi.org/10.5120/ijca2015905802.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Handayani, Ade Silvia, Nyayu Latifah Husni, Siti Nurmaini, and Irsyadi Yani. "Application of Type-1 and Type-2 Fuzzy Logic Controller for The Real Swarm Robot." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 06 (2019): 83. http://dx.doi.org/10.3991/ijoe.v15i06.10075.

Full text

Abstract:

Navigation is one of the typical problem domains occurred in studying swarm robot. This task needs a special ability in avoiding obstacles. This research presents the navigation techniques using type 1 fuzzy logic and interval type 2 fuzzy logic. A comparison of those two fuzzy logic performances in controlling swarm robot as tools for complex problem modeling, especially for path navigation is presented in this paper. Each hierarchical of fuzzy logic shows its advantages and disadvantages. For testing the robustness of type-1 fuzzy logic and interval type-2 fuzzy logic algorithms, 3 robots fo

APA, Harvard, Vancouver, ISO, and other styles

3

Maity, Saikat, Sanjay Chakraborty, Saroj Kumar Pandey, Indrajit De, and Sourasish Nath. "Type-n fuzzy logic - the next level of type-1 and type-2 fuzzy logic." International Journal of Intelligent Engineering Informatics 11, no. 4 (2023): 353–89. http://dx.doi.org/10.1504/ijiei.2023.136106.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Castillo, Oscar, and Patricia Melin. "Proposal for Mediative Fuzzy Control: From Type-1 to Type-3." Symmetry 15, no. 10 (2023): 1941. http://dx.doi.org/10.3390/sym15101941.

Full text

Abstract:

This paper presents an initial proposal for the utilization of mediative fuzzy logic in control problems. Mediative fuzzy logic (MFL) was originally proposed with the idea of modeling situations in which there exists contradictory knowledge among several experts in an application domain. In this situation, a mediative solution may be a better choice in this particular decision-making situation. In this paper, we are extending the concept of fuzzy control to the realm of MFL for situations in which we have two or more control experts, and the design of the fuzzy controller has to be based on th

APA, Harvard, Vancouver, ISO, and other styles

5

Azar, Ahmad Taher. "Overview of Type-2 Fuzzy Logic Systems." International Journal of Fuzzy System Applications 2, no. 4 (2012): 1–28. http://dx.doi.org/10.4018/ijfsa.2012100101.

Full text

Abstract:

Fuzzy set theory has been proposed as a means for modeling the vagueness in complex systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by numbers in the range [0, 1]. Despite commercial success of fuzzy logic, a type-1 fuzzy set (T1FS) does not capture uncertainty in its manifestations when it arises from vagueness in the shape of the membership function. Such uncertainties need to be depicted by fuzzy sets that have blur boundaries. The imprecise boundaries of a type-2 fuzzy set (T2FS) give rise to truth/membership values that are fuzzy sets in [0], [1], instead

APA, Harvard, Vancouver, ISO, and other styles

6

Dominik, Ireneusz. "Implementation of the Type-2 Fuzzy Controller in PLC." Solid State Phenomena 164 (June 2010): 95–98. http://dx.doi.org/10.4028/www.scientific.net/ssp.164.95.

Full text

Abstract:

The main aim of the presented research work was to develop type-2 fuzzy logic controller, which by its own design should be “more intelligent” than type-1. Along with the intelligence it should provide better results in solving a particular problem. Type-2 fuzzy logic controller is not well-known and it is rarely used at present. The idea of type-2 fuzzy logic set was presented by Zadeh in 1975, shortly after the presentation of type-1 fuzzy set. At the beginning scientists and researchers worked on type-1. Only after developing type-1 the attention was directed towards the type-2. The first a

APA, Harvard, Vancouver, ISO, and other styles

7

Arifin, Bustanul, Bhakti Yudho Suprapto, Sri Arttini Dwi Prasetyowati, and Zainuddin Nawawi. "Steering Control in Electric Power Steering Autonomous Vehicle Using Type-2 Fuzzy Logic Control and PI Control." World Electric Vehicle Journal 13, no. 3 (2022): 53. http://dx.doi.org/10.3390/wevj13030053.

Full text

Abstract:

The steering system in autonomous vehicles is an essential issue that must be addressed. Appropriate control will result in a smooth and risk-free steering system. Compared to other types of controls, type-2 fuzzy logic control has the advantage of dealing with uncertain inputs, which are common in autonomous vehicles. This paper proposes a novel method for the steering control of autonomous vehicles based on type-2 fuzzy logic control combined with PI control. The primary control, type-2 fuzzy logic control, has three inputs—distance, navigation, and speed. The fuzzy system’s output is the st

APA, Harvard, Vancouver, ISO, and other styles

8

Navita Dhaka. "A Comparative Study of Fuzzy Logic Type-1, Type-2 and Gradient-Based Method for Edge Detection in RGB Images." Communications on Applied Nonlinear Analysis 31, no. 7s (2024): 170–76. http://dx.doi.org/10.52783/cana.v31.1292.

Full text

Abstract:

Edge detection is widely used in image processing to simplify the images by reducing data. It emphasizes essential features and thereby enhances data processing speed. Edge detection techniques are widely used in the fields of Medical Imaging, Vehicle Detection, Fingerprint Recognition, Robotic vision, Steganography, Feature extraction, security etc. This research paper presents a comparative analysis of different edge detection techniques based on gradient fuzzy Type-1 and fuzzy Type-2. The researcher has experimentally evaluated the edges detected using Prewitt operator based on Gradients, m

APA, Harvard, Vancouver, ISO, and other styles

9

Coupland, Simon, and Robert John. "Geometric Type-1 and Type-2 Fuzzy Logic Systems." IEEE Transactions on Fuzzy Systems 15, no. 1 (2007): 3–15. http://dx.doi.org/10.1109/tfuzz.2006.889764.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Janková, Zuzana, and Petr Dostál. "Type-2 Fuzzy Expert System Approach for Decision-Making of Financial Assets and Investing under Different Uncertainty." Mathematical Problems in Engineering 2021 (June 18, 2021): 1–16. http://dx.doi.org/10.1155/2021/3839071.

Full text

Abstract:

Extensive research results of stock market time series using classical fuzzy sets (type-1) are available in the literature. However, type-1 fuzzy sets cannot fully capture the uncertainty associated with stock market developments due to their limited descriptiveness. This paper fills a scientific gap and focuses on type-2 fuzzy logic applied to stock markets. Type-2 fuzzy sets may include additional uncertainty resulting from unclear, uncertain, or inaccurate financial data through which model inputs are calculated. Here we propose four methods based on type-2 fuzzy logic, which differ in the

APA, Harvard, Vancouver, ISO, and other styles

11

Castillo, Oscar, Leticia Amador-Angulo, Juan R. Castro, and Mario Garcia-Valdez. "A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems." Information Sciences 354 (August 2016): 257–74. http://dx.doi.org/10.1016/j.ins.2016.03.026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Ochoa, Patricia, Cinthia Peraza, Patricia Melin, Oscar Castillo, Seungmin Park, and Zong Woo Geem. "Enhancing Control Systems through Type-3 Fuzzy Logic Optimization." Mathematics 12, no. 12 (2024): 1792. http://dx.doi.org/10.3390/math12121792.

Full text

Abstract:

The advancement of new tools in the field of control systems is a contemporary development. This work introduces the utilization of Type-3 fuzzy logic, a relatively recent concept that has been applied across various disciplines. In our case, a Type-3 fuzzy system is designed to enhance the optimization of parameters within the harmony search algorithm, specifically tailored for a control problem. Through a series of experiments, the efficacy of this novel Type-3 fuzzy logic tool is put to the test. Previous studies have primarily explored Type-1 and Type-2 fuzzy logic. To assess the performan

APA, Harvard, Vancouver, ISO, and other styles

13

Janková, Zuzana, Dipak Kumar Jana, and Petr Dostál. "Investment Decision Support Based on Interval Type-2 Fuzzy Expert System." Engineering Economics 32, no. 2 (2021): 118–29. http://dx.doi.org/10.5755/j01.ee.32.2.24884.

Full text

Abstract:

The decision-making process on investing in financial markets is a very complex and difficult task, mainly due to the chaotic behavior and high uncertainty in the development of the prices of investment instruments. For this reason, financial markets are increasingly using means of artificial intelligence, namely fuzzy logic, which is able to capture the nonlinear behavior.Fuzzy logic provides a way to draw definitive conclusions from vague, ambiguous, or inaccurate information.However, there are some drawbacks associated with type-1 fuzzy logic, so the type-2 fuzzy logic comes forward, which

APA, Harvard, Vancouver, ISO, and other styles

14

Méndez, Gerardo Maximiliano, Ismael López-Juárez, María Aracelia Alcorta García, Dulce Citlalli Martinez-Peon, and Pascual Noradino Montes-Dorantes. "The Enhanced Wagner–Hagras OLS–BP Hybrid Algorithm for Training IT3 NSFLS-1 for Temperature Prediction in HSM Processes." Mathematics 11, no. 24 (2023): 4933. http://dx.doi.org/10.3390/math11244933.

Full text

Abstract:

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–Hagras (EWH) applied to IT3 NSFLS-1 fuzzy systems, which includes the level alpha 0 output to calculate the output y alpha using the average of the outputs y alpha k instead of their weighted average, and (c) the novel application of the proposed methodology to solve the problem of transfer bar surface temperature prediction in a hot strip mill. The development of the proposed methodology uses the orthogonal least squa

APA, Harvard, Vancouver, ISO, and other styles

15

Hayder, Yousif Abed, Thiab Humod Abdulrahim, and J. Humaidi Amjad. "Type 1 versus type 2 fuzzy logic speed controllers for brushless DC motors." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 265–74. https://doi.org/10.11591/ijece.v10i1.pp265-274.

Full text

Abstract:

This work presented two fuzzy logic (FL) schemes for speed-controlled brushless DC motors. The first controller is a Type 1 FL controller (T1FLC), whereas the second controller is an interval Type 2 FL controller (IT2FLC). The two proposed controllers were compared in terms of system dynamics and performance. For a fair comparison, the same type and number of membership functions were used for both controllers. The effectiveness of the structures of the two FL controllers was verified through simulation in MATLAB/SIMULINK environment. Simulation result showed that IT2FLC exhibited better perfo

APA, Harvard, Vancouver, ISO, and other styles

16

Hemeyine, Ahmed Vall, Ahmed Abbou, Anass Bakouri, Mohcine Mokhlis, and Sidi Mohamed ould Mohamed El Moustapha. "A Robust Interval Type-2 Fuzzy Logic Controller for Variable Speed Wind Turbines Based on a Doubly Fed Induction Generator." Inventions 6, no. 2 (2021): 21. http://dx.doi.org/10.3390/inventions6020021.

Full text

Abstract:

This paper presents an implementation of a new robust control strategy based on an interval type-2 fuzzy logic controller (IT2-FLC) applied to the wind energy conversion system (WECS). The wind generator used was a variable speed wind turbine based on a doubly fed induction generator (DFIG). Fuzzy logic concepts have been applied with great success in many applications worldwide. So far, the vast majority of systems have used type-1 fuzzy logic controllers. However, T1-FLC cannot handle the high level of uncertainty in systems (complex and non-linear systems). The amount of uncertainty in a sy

APA, Harvard, Vancouver, ISO, and other styles

17

Shrinivasan, Lakshmi, and J. l. R. Rao. "Type-2 Fuzzy Logic in Pair Formation." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 94. http://dx.doi.org/10.11591/ijeecs.v10.i1.pp94-99.

Full text

Abstract:

<span>This paper gives an overview of Type-2 Fuzzy sets (T2FSs) and Type-2 fuzzy Logic system (T2FLS) considering one aviation scenario. The existing type-1 Fuzzy system has limited capability to handle the uncertainty directly. In order to overcome the limitations of Type-1 fuzzy Logic system (T1FLS), a next level of fuzzy set is introduced, that is known as T2FSs. Here we will discuss about: Type-2 fuzzy sets, type-2 membership functions, inference engine, type reduction and defuzzification. Pair formation is the undertaken aviation scenario which is very critical in a fighting situati

APA, Harvard, Vancouver, ISO, and other styles

18

Lakshmi, Shrinivasan, and R. Raol J. "Type-2 Fuzzy Logic in Pair Formation." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 94–99. https://doi.org/10.11591/ijeecs.v10.i1.pp94-99.

Full text

Abstract:

This paper gives an overview of Type-2 Fuzzy sets (T2FSs) and Type-2 fuzzy Logic system (T2FLS) considering one aviation scenario. The existing type-1 Fuzzy system has limited capability to handle the uncertainty directly. In order to overcome the limitations of Type-1 fuzzy Logic system (T1FLS), a next level of fuzzy set is introduced, that is known as T2FSs. Here we will discuss about: Type-2 fuzzy sets, type-2 membership functions, inference engine, type reduction and defuzzification. Pair formation is the undertaken aviation scenario which is very critical in a fighting situation. Crisp da

APA, Harvard, Vancouver, ISO, and other styles

19

Amador-Angulo, Leticia, Oscar Castillo, Patricia Melin, and Juan R. Castro. "Interval Type-3 Fuzzy Adaptation of the Bee Colony Optimization Algorithm for Optimal Fuzzy Control of an Autonomous Mobile Robot." Micromachines 13, no. 9 (2022): 1490. http://dx.doi.org/10.3390/mi13091490.

Full text

Abstract:

In this study, the first goal is achieving a hybrid approach composed by an Interval Type-3 Fuzzy Logic System (IT3FLS) for the dynamic adaptation of α and β parameters of Bee Colony Optimization (BCO) algorithm. The second goal is, based on BCO, to find the best partition of the membership functions (MFs) of a Fuzzy Controller (FC) for trajectory tracking in an Autonomous Mobile Robot (AMR). A comparative with different types of Fuzzy Systems, such as Fuzzy BCO with Type-1 Fuzzy Logic System (FBCO-T1FLS), Fuzzy BCO with Interval Type-2 Fuzzy Logic System (FBCO-IT2FLS) and Fuzzy BCO with Gener

APA, Harvard, Vancouver, ISO, and other styles

20

Janková, Zuzana, and Eva Rakovská. "Comparison Uncertainty of Different Types of Membership Functions in T2FLS: Case of International Financial Market." Applied Sciences 12, no. 2 (2022): 918. http://dx.doi.org/10.3390/app12020918.

Full text

Abstract:

This article deals with the determination and comparison of different types of functions of the type-2 interval of fuzzy logic, using a case study on the international financial market. The model is demonstrated on the time series of the leading stock index DJIA of the US market. Type-2 Fuzzy Logic membership features are able to include additional uncertainty resulting from unclear, uncertain or inaccurate financial data that are selected as inputs to the model. Data on the financial situation of companies are prone to inaccuracies or incomplete information, which is why the type-2 fuzzy logi

APA, Harvard, Vancouver, ISO, and other styles

21

Sajiah, Adha Mashur, Reza Sanjaya, and Bambang Pramono. "Aplikasi Perkiraan Curah Hujan Kota Kendari Menggunakan Metode Interval Type-2 Fuzzy Logic System." Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) 8, no. 2 (2023): 86–91. https://doi.org/10.33772/jfe.v8i2.77.

Full text

Abstract:

Kondisi cuaca ialah hal yang mesti dipelajari karena cuaca di suatu daerah atau tempat berbeda-beda sehingga dapat menentukan rangkaian kegiatan atau aktifitas manusia. Sehingga informasi mengenai cuaca sangat dibutuhkan karena dapat mempengaruhi aktivitas masyarakat. Dengan berkembangnya teknologi saat ini, banyak peneliti yang mengembangkan sistem untuk memprediksi atau memperkirakan curah hujan. Salah satu teknik yang bisa diimplementasikan untuk memprediksi atau memperkirakan curah hujan ialah dengan menggunakan metode logika fuzzy. Walaupun Type-1 Fuzzy Logic System dimaksudkan untuk mere

APA, Harvard, Vancouver, ISO, and other styles

22

Yordanova, Snejana. "Industrial Design of Type-1 and Interval Type-2 Fuzzy Logic Control." Jordan Journal of Electrical Engineering 11, no. 1 (2025): 1. http://dx.doi.org/10.5455/jjee.204-1720610452.

Full text

Abstract:

This paper focuses on the design of type-1 and interval type-2 (IT2) PID fuzzy logic controllers (FLC) for ensuring - by a programmable logic controller (PLC) - a high-performance real-time liquid level control in a carbonization column (CCl) for soda production. Firstly, Takagi-Sugeno-Kang models - derived via genetic algorithms parameter optimizations, experimental data and simulations for the basic and the worst CCl loads - are studied at different operation points, and the worst Ziegler-Nichols (ZN) model is assessed. Next, two-input fuzzy units are designed - assuming various membership f

APA, Harvard, Vancouver, ISO, and other styles

23

Guzmán, Juan, Ivette Miramontes, Patricia Melin, and German Prado-Arechiga. "Optimal Genetic Design of Type-1 and Interval Type-2 Fuzzy Systems for Blood Pressure Level Classification." Axioms 8, no. 1 (2019): 8. http://dx.doi.org/10.3390/axioms8010008.

Full text

Abstract:

The use of artificial intelligence techniques such as fuzzy logic, neural networks and evolutionary computation is currently very important in medicine to be able to provide an effective and timely diagnosis. The use of fuzzy logic allows to design fuzzy classifiers, which have fuzzy rules and membership functions, which are designed based on the experience of an expert. In this particular case a fuzzy classifier of Mamdani type was built, with 21 rules, with two inputs and one output and the objective of this classifier is to perform blood pressure level classification based on knowledge of a

APA, Harvard, Vancouver, ISO, and other styles

24

Sarabakha, Andriy, Changhong Fu, and Erdal Kayacan. "Intuit before tuning: Type-1 and type-2 fuzzy logic controllers." Applied Soft Computing 81 (August 2019): 105495. http://dx.doi.org/10.1016/j.asoc.2019.105495.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Bernal, Emer, Oscar Castillo, José Soria, and Fevrier Valdez. "Generalized type-2 fuzzy logic in galactic swarm optimization: design of an optimal ball and beam fuzzy controller." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 3545–59. http://dx.doi.org/10.3233/jifs-191873.

Full text

Abstract:

In this paper we present a modification based on generalized type-2 fuzzy logic to an algorithm that is inspired on the movement of large masses of stars and their attractive force in the universe, known as galactic swarm optimization (GSO). The modification consists on the dynamic adjustment of parameters in GSO using type-1 and type-2 fuzzy logic. The main idea of the proposed approach is the application of fuzzy systems to dynamically adapt the parameters of the GSO algorithm, which is then applied to parameter optimization of the membership functions of the bar and ball fuzzy controller. T

APA, Harvard, Vancouver, ISO, and other styles

26

Benbrahim, Meriem, Moufid Bouhentala, Mouna Ghanai, Kheireddine Chafaa, and Najib Essounbouli. "Generalization to Type 2 of PSO-Optimized Type 1 PD Fuzzy Controller and its Application to a Quadrotor UAV." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 21658–64. https://doi.org/10.48084/etasr.9777.

Full text

Abstract:

This study presents a new Type 2 fuzzy logic (interval-valued fuzzy logic) control system for a Vertical Take Off and Landing (VTOL) quadrotor. The goal of the control design is to obtain robust and stable tracking of the desired angles in the presence of disturbances and noises. The membership functions relative to the linguistic variables of the fuzzy if-then rules are chosen to control the quadrotor to track a reference trajectory. The Particle Swarm Optimization (PSO) method is used to optimize controller-free parameters. The results obtained from an extensive simulation study show that th

APA, Harvard, Vancouver, ISO, and other styles

27

Muthugala, M. A. Viraj J., S. M. Bhagya P. Samarakoon, Madan Mohan Rayguru, Balakrishnan Ramalingam, and Mohan Rajesh Elara. "Wall-Following Behavior for a Disinfection Robot Using Type 1 and Type 2 Fuzzy Logic Systems." Sensors 20, no. 16 (2020): 4445. http://dx.doi.org/10.3390/s20164445.

Full text

Abstract:

Infectious diseases are caused by pathogenic microorganisms, whose transmission can lead to global pandemics like COVID-19. Contact with contaminated surfaces or objects is one of the major channels of spreading infectious diseases among the community. Therefore, the typical contaminable surfaces, such as walls and handrails, should often be cleaned using disinfectants. Nevertheless, safety and efficiency are the major concerns of the utilization of human labor in this process. Thereby, attention has drifted toward developing robotic solutions for the disinfection of contaminable surfaces. A r

APA, Harvard, Vancouver, ISO, and other styles

28

Dalkiliç, Türkan Erbay, and Seda Sağirkaya. "Parameter Prediction Based on Type-2 Fuzzy Clustering." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26, no. 06 (2018): 877–92. http://dx.doi.org/10.1142/s0218488518500393.

Full text

Abstract:

In regression analysis, the data have different distributions which requires to go beyond the classical analysis during the prediction process. In such cases, the analysis method based on fuzzy logic is preferred as alternative methods. There are couple important steps in the regression analysis based on fuzzy logic. One of them is identification of the clusters that generate the data set, the other is the degree of memberships that are determined the grades of the contributions of the data contained in these clusters. In this study, parameter prediction based on type-2 fuzzy clustering is dis

APA, Harvard, Vancouver, ISO, and other styles

29

Herizi, Abdelghafour Herizi, Riyadh Rouabhi, Fayssal Ouagueni, Abderrahim Zemmit, and Abdelhafid Benyounes. "A new robust controller based on type-1 fuzzy logic and IP regulator for induction motor." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 1 (2024): 3268–85. http://dx.doi.org/10.54021/seesv5n1-162.

Full text

Abstract:

The novelty of the work proposed a new controller based on type 1 fuzzy logic and IP regulator, the new controller applies to the asynchronous machine driven by a PWM inverter. Flux-directed vector control is considered one of the most effective control methods due to its ease of design and implementation. Proportional integral (PI) controllers are used to implement this method. The controllers parameters are calculated using traditional analytical methods directly from the machine parameters. This requires rigorous calculation and a thorough understanding of all machine parameters. Improve th

APA, Harvard, Vancouver, ISO, and other styles

30

Abhiram, Tikkani, and V. N. Prasad Polaki. "Type-1 and type-2 fuzzy logic-based space vector modulation for two-level inverter fed induction motor." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 20, no. 4 (2022): 901–13. https://doi.org/10.12928/telkomnika.v20i4.22454.

Full text

Abstract:

Two-level inverter control with type-1 and type-2 fuzzy logic-based space vector pulse-width modulation (PWM) method for induction motor drive (IMD) is presented in this paper. A new sampling time independent strategy with type-1 and type-2 fuzzy based methods are used in generating three phase duty ratios which are directly obtained without mathematical equations. The conventional method of space vector modulation (SVM) produces the duty ratios for the inverter which are sampling time dependent. However, in type-1 and type-2 fuzzy based space vector PWM algorithms, the three phases duty ratio

APA, Harvard, Vancouver, ISO, and other styles

31

Miron, Anca, Andrei C. Cziker, and Horia G. Beleiu. "Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency." Applied Sciences 14, no. 11 (2024): 4468. http://dx.doi.org/10.3390/app14114468.

Full text

Abstract:

Fuzzy-based control systems have demonstrated a remarkable ability to control nonlinear processes, a characteristic commonly observed in power systems, particularly in the context of power quality enhancement. Despite this, an updated and comprehensive literature review on the applications of fuzzy logic in the domain of power quality control has been lacking. To address this gap, this study critically examines published research on the effective and efficient use of fuzzy logic in resolving quality issues within power systems. Data sources included the Web of Science and academic journal data

APA, Harvard, Vancouver, ISO, and other styles

32

Al Tahtawi, Adnan Rafi. "Kendali Posisi Motor DC Menggunakan Logika Fuzzy Interval Tipe 2." TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol 7, no. 1 (2021): 1–10. http://dx.doi.org/10.15575/telka.v7n1.1-10.

Full text

Abstract:

Kendali posisi motor DC sangat diperlukan dalam berbagai sistem dinamik. Karaketristik kekokohan pengendalian menjadi salah satu hal yang harus dipertimbangkan dalam pengendalian posisi motor DC. Makalah ini bertujuan untuk mengusulkan metode pengendalian posisi motor DC menggunakan kendali Interval Type 2 Fuzzy Logic (IT2FL). Berbeda dengan pengendali logika fuzzy tipe 1, pengendali ini memiliki fungsi keanggotaan dengan Footprint of Uncertainty (FoU) di setiap variabel linguistik. Kelebihan inilah yang menyebabkan kendali logika fuzzy tipe 2 memiliki karakteristik kekokohan terhadap ketidakp

APA, Harvard, Vancouver, ISO, and other styles

33

GHOLAMI, SHAHRZAD, ARIA ALASTY, HASSAN SALARIEH, and MEHDI HOSSEINIAN-SARAJEHLOU. "ON THE CONTROL OF TUMOR GROWTH VIA TYPE-1 AND INTERVAL TYPE-2 FUZZY LOGIC." Journal of Mechanics in Medicine and Biology 15, no. 05 (2015): 1550083. http://dx.doi.org/10.1142/s0219519415500839.

Full text

Abstract:

This paper deals with growth control of cancer cells population using type-1 and interval type-2 fuzzy logic. A type-1 fuzzy controller is designed in order to reduce the population of cancer cells, adjust the drug dosage in a manner that allows normal cells re-grow in treatment period and maintain the maximum drug delivery rate and plasma concentration of drug in an appropriate range. Two different approaches are studied. One deals with reducing the number of cancer cells without any concern about the rate of decreasing, and the other takes the rate of malignant cells damage into consideratio

APA, Harvard, Vancouver, ISO, and other styles

34

Feng, Teng, Shuwei Deng, Xinglong Chen, Chao Zhang, and Yao Mao. "A Generalized Type-2 Fuzzy-Based Analog Memristive Controller." Electronics 14, no. 6 (2025): 1178. https://doi.org/10.3390/electronics14061178.

Full text

Abstract:

Type-1 fuzzy PID controllers are widely used in industrial control systems due to their well-established theoretical foundation, simplicity of structure, and ease of operation. However, as control systems become increasingly complex and demands for higher control performance intensify, the limitations of Type-1 fuzzy controllers become more apparent. Additionally, the difficulty in tuning PID parameters and the inability to adjust these parameters online as the controlled system changes further constrain the effectiveness of traditional PID controllers. To address these challenges, this paper

APA, Harvard, Vancouver, ISO, and other styles

35

Sobrinho, André Sanches Fonseca, and Francisco Granziera Junior. "Type-1 fuzzy logic algorithm for low cost embedded systems." Computers & Electrical Engineering 88 (December 2020): 106861. http://dx.doi.org/10.1016/j.compeleceng.2020.106861.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Francisco Trejo, Rafael Torres Escobar, and Alberto Ochoa-Zezzatti. "Forecasting 3PL demand of warehousing services with interval type-3 fuzzy logic and GM (1,1)." International Journal of Combinatorial Optimization Problems and Informatics 15, no. 4 (2024): 186–98. http://dx.doi.org/10.61467/2007.1558.2024.v15i4.441.

Full text

Abstract:

Real-world information can be vague or imprecise, not reliable, where the information is presented in fragments, ambiguity in the data, or even contradictory information, these can lead to uncertainty, but even this uncertainty we need to take decisions [1]. Part of this uncertainty can be handled by different un-certainty models, such: grey systems [2-3], type-1, type-2 [4-7] or typ-3 fuzzy systems, all used represent this uncertainty with numbers. But some-times, there more complex situations are, it is extremely difficult to find the precise numeric value or model to provide accurate value

APA, Harvard, Vancouver, ISO, and other styles

37

Niewiadomski, A., and M. Kacprowicz. "Higher order fuzzy logic in controlling selective catalytic reduction systems." Bulletin of the Polish Academy of Sciences Technical Sciences 62, no. 4 (2014): 743–50. http://dx.doi.org/10.2478/bpasts-2014-0080.

Full text

Abstract:

Abstract This paper presents research on applications of fuzzy logic and higher-order fuzzy logic systems to control filters reducing air pollution [1]. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert. The goal of the research is to control an SCR system responsible for emission of nitrogen oxide (NO) and nitrogen dioxide (NO2) to the air, using SCR with ammonia (NH3). There are two higher-order fuzzy logic systems presented, applying interval-valued fuzzy sets and type-2 fuzzy sets, respectively. Fuzzy sets and

APA, Harvard, Vancouver, ISO, and other styles

38

Djalal, Muhammad Ruswandi, and Imam Robandi. "Pemodelan Peramalan Beban pada System Sulselrabar Menggunakan Tipe-2 Logika Fuzzy." Jurnal Teknologi Elekterika 19, no. 2 (2022): 89. http://dx.doi.org/10.31963/elekterika.v6i2.3751.

Full text

Abstract:

Penelitian ini mengusulkan pendekatan pemodelan untuk peramalan beban jangka pendek 24 jam berdasarkan logika fuzzy tipe-2. Dalam penelitian ini didapatkan suatu pendekatan dalam merancang model peramalan beban, dimana sebelumnya masih menggunakan logika fuzzy konvensional. Implementasi peramalan beban pada penelitian ini dilakukan pada sistem kelistrikan 150 kV Sulselrabar. Sistem kelistrikan Sulselrabar dalam perkembangannya mengalami perkembangan yang pesat, oleh karena itu diperlukan suatu penelitian yang dapat meningkatkan performansi sistem tersebut, salah satunya adalah studi peramalan

APA, Harvard, Vancouver, ISO, and other styles

39

Mendez, Gerardo M., and Ma De Los Angeles Hernandez. "Interval type-1 non-singleton type-2 fuzzy logic systems are type-2 adaptive neuro-fuzzy inference systems." International Journal of Reasoning-based Intelligent Systems 2, no. 2 (2010): 95. http://dx.doi.org/10.1504/ijris.2010.034904.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Chen, Yang, and Jiaxiu Yang. "Design of back propagation optimized Nagar-Bardini structure-based interval type-2 fuzzy logic systems for fuzzy identification." Transactions of the Institute of Measurement and Control 43, no. 12 (2021): 2780–87. http://dx.doi.org/10.1177/01423312211006635.

Full text

Abstract:

In recent years, fuzzy identification based on system identification theory has become a hot academic topic. Interval type-2 fuzzy logic systems (IT2 FLSs) have become a rising technology. This paper designs a type of Nagar-Bardini (NB) structure-based singleton IT2 FLSs for fuzzy identification problems. The antecedents of primary membership functions of IT2 FLSs are chosen as Gaussian type-2 primary membership functions with uncertain standard deviations. Then, the back propagation algorithms are used to tune the parameters of IT2 FLSs according to the chain rule of derivation. Compared with

APA, Harvard, Vancouver, ISO, and other styles

41

Valdez, Fevrier, Oscar Castillo, Prometeo Cortes-Antonio, and Patricia Melin. "A survey of Type-2 fuzzy logic controller design using nature inspired optimization." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 6169–79. http://dx.doi.org/10.3233/jifs-189087.

Full text

Abstract:

In this paper, we are presenting a survey of research works dealing with Type-2 fuzzy logic controllers designed using optimization algorithms inspired on natural phenomena. Also, in this review, we analyze the most popular optimization methods used to find the important parameters on Type-1 and Type-2 fuzzy logic controllers to improve on previously obtained results. To this end have included a summary of the results obtained from the web of science database to observe the recent trend of using optimization methods in the area of optimal type-2 fuzzy logic control design. Also, we have made a

APA, Harvard, Vancouver, ISO, and other styles

42

Abed, Hayder Yousif, Abdulrahim Thiab Humod, and Amjad J. Humaidi. "Type 1 versus type 2 fuzzy logic speed controllers for brushless dc motors." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 265. http://dx.doi.org/10.11591/ijece.v10i1.pp265-274.

Full text

Abstract:

<span lang="EN-US">This work presented two fuzzy logic (FL) schemes for speed-controlled brushless DC motors. The first controller is a Type 1 FL controller (T1FLC), whereas the second controller is an interval Type 2 FL controller (IT2FLC). The two proposed controllers were compared in terms of system dynamics and performance. For a fair comparison, the same type and number of membership functions were used for both controllers. The effectiveness of the structures of the two FL controllers was verified through simulation in MATLAB/SIMULINK environment. Simulation result showed that IT2F

APA, Harvard, Vancouver, ISO, and other styles

43

Naik, Kanasottu Anil, Chandra Prakash Gupta, and Eugene Fernandez. "Advanced Type-2 fuzzy logic–based pitch-angle control strategy for wind energy system." Wind Engineering 44, no. 1 (2019): 75–92. http://dx.doi.org/10.1177/0309524x19849839.

Full text

Abstract:

In general, pitch-angle controller regulates the generator output power when the wind speed exceeds the rated wind turbine speed. Besides this, it can also be employed to stabilize the wind energy system rotor speed during the transient disturbances. In this article, therefore, a logical pitch-angle controller strategy (in power and speed control modes) has been developed and an interval Type-2 fuzzy logic technique is proposed to design the controller. To evaluate the effectiveness of the Type-2 fuzzy logic–based pitch-angle controller, the simulations have been carried out for severe network

APA, Harvard, Vancouver, ISO, and other styles

44

Dongrui Wu and Jerry M. Mendel. "On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems." IEEE Transactions on Fuzzy Systems 19, no. 1 (2011): 179–92. http://dx.doi.org/10.1109/tfuzz.2010.2091962.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Mohammed Z. Al-Faiz and Mohammed S. Saleh. "Design and Implementation of Type-2 Fuzzy Logic Controllers for the Position Control of a DC Servo Motor." Diyala Journal of Engineering Sciences 7, no. 3 (2014): 120–30. http://dx.doi.org/10.24237/djes.2014.07308.

Full text

Abstract:

Uncertainty is an inherent part in controllers for real world applications. In this paper we compare the performance differences between type-1 and interval type-2 fuzzy logic (IT2FLC) controllers, with five and three term membership functions. The controllers are used to control a PM DC motor in a closed loop real time system. The performance of system with each controller to a step is recorded. The results showed that there is a statistical difference between the fuzzy logic type-1 and type-2 controllers. It is also found that a type-2 five term controller is as good as a type-1five term or

APA, Harvard, Vancouver, ISO, and other styles

46

Cazarez-Castro, Nohe R., Luis T. Aguilar, and Oscar Castillo. "Designing Type-1 and Type-2 Fuzzy Logic Controllers via Fuzzy Lyapunov Synthesis for nonsmooth mechanical systems." Engineering Applications of Artificial Intelligence 25, no. 5 (2012): 971–79. http://dx.doi.org/10.1016/j.engappai.2012.03.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Azad, Farheen. "A Review on the Development of Fuzzy Classifiers with Improved Interpretability and Accuracy Parameters." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 2 (2021): 1–9. http://dx.doi.org/10.54060/jieee/002.02.020.

Full text

Abstract:

This review paper of fuzzy classifiers with improved interpretability and accuracy parameter discussed the most fundamental aspect of very effective and powerful tools in form of probabilistic reasoning, The fuzzy logic concept allows the effective realization of ap-proximate, vague, uncertain, dynamic, and more realistic conditions, which is closer to the actual physical world and human thinking. The fuzzy theory has the competency to catch the lack of preciseness of linguistic terms in a speech of natural language. The fuzzy theory provides a more significant competency to model humans like

APA, Harvard, Vancouver, ISO, and other styles

48

Khemis, A., T. Boutabba, and S. Drid. "Model reference adaptive system speed estimator based on type-1 and type-2 fuzzy logic sensorless control of electrical vehicle with electrical differential." Electrical Engineering & Electromechanics, no. 4 (June 27, 2023): 19–25. http://dx.doi.org/10.20998/2074-272x.2023.4.03.

Full text

Abstract:

Introduction. In this paper, a new approach for estimating the speed of in-wheel electric vehicles with two independent rear drives is presented. Currently, the variable-speed induction motor replaces the DC motor drive in a wide range of applications, including electric vehicles where quick dynamic response is required. This is now possible as a result of significant improvements in the dynamic performance of electrical drives brought about by technological advancements and development in the fields of power commutation devices, digital signal processing, and, more recently, intelligent contr

APA, Harvard, Vancouver, ISO, and other styles

49

Castorena, Gerardo Armando Hernández, Gerardo Maximiliano Méndez, Ismael López-Juárez, María Aracelia Alcorta García, Dulce Citlalli Martinez-Peon, and Pascual Noradino Montes-Dorantes. "Parameter Prediction with Novel Enhanced Wagner Hagras Interval Type-3 Takagi–Sugeno–Kang Fuzzy System with Type-1 Non-Singleton Inputs." Mathematics 12, no. 13 (2024): 1976. http://dx.doi.org/10.3390/math12131976.

Full text

Abstract:

This paper presents the novel enhanced Wagner–Hagras interval type-3 Takagi–Sugeno–Kang fuzzy logic system with type-1 non-singleton inputs (EWH IT3 TSK NSFLS-1) that uses the backpropagation (BP) algorithm to train the antecedent and consequent parameters. The proposed methodology dynamically changes the parameters of only the alpha-0 level, minimizing some criterion functions as the current information becomes available for each alpha-k level. The novel fuzzy system was applied in two industrial processes and several fuzzy models were used to make comparisons. The experiments demonstrated th

APA, Harvard, Vancouver, ISO, and other styles

50

Dhaka, Navita, Meenakshi Hooda, Vinita Yadav, and Sumeet Gill. "A novel RGB image steganography algorithm using type-1 fuzzy logic." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 1 (2025): 123. http://dx.doi.org/10.11591/ijeecs.v37.i1.pp123-133.

Full text

Abstract:

Steganography aims to conceal secret data within images without affecting image quality. Traditional methods often struggle with balancing simplicity, effectiveness and payload capacity while maintaining imperceptibility. Proposed algorithm: the paper proposed a novel steganographic mshEdgeRGB_T1 algorithm that combines Mamdani fuzzy type-1 logic with the least significant bit (LSB) method. The LSB method is chosen for its simplicity and effectiveness in hiding messages. The mshEdgeRGB_T1 algorithm focuses on embedding secret messages in edge pixels, detecting more edge pixels compared to othe

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!