fuzzy logic IEEE PAPER 2022


Fuzzy logic is an approach to variable processing that allows for multiple possible truth values to be processed through the same variable. Fuzzy logic attempts to solve problems with an open, imprecise spectrum of data and heuristics that makes it possible to obtain an array of accurate conclusions. Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false.







Functions of fuzzy logic based controllers used in smart building.
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parameters in considering indoor thermal comfort in fuzzy logic controllers. However, the most set-points and a fuzzy algorithm and the integration of daylight with existing artificial light.

Quasi-MV algebras for complex fuzzy logic
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logic . Due to the circle structured codomain of the complex membership function, algebraic structure (including MValgebra) in traditional fuzzy logic in complex fuzzy logic by introducing

INDUSTIAL PERFORMANCE CONTROL WITH FUZZY LOGIC AND AHP METHODS
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The second method is a system based on fuzzy logic developed by Prof. M. ZADEH, which In this study, the AHP method is first explained and then the fuzzy logicbased method is

Evaluation quality of service for internet of things based on fuzzy logic : a smart home case study
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We used fuzzy logic to select the most appropriate and Therefore, fuzzy logic is a worthy method to provide a good measure that the model with its fuzzy performance importance index (

Application of Fuzzy Logic and Fuzzy Similarity in Plant Sociology
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communities with fuzzy logic and fuzzy similarity approaches re-evaluating them with fuzzy logic and fuzzy similarity approaches. In other words, the issue of fuzzy similarity of sets and

Do fuzzy logic non-linear models provide a benefit for the modelling of algebraic competency
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Statistical models used in mathematics education are often linear and latent variables are often assumed to be normally distributed. The present paper argues that by relaxing these

The Clustering and Fuzzy Logic Methods Complex for Big Data Processing
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and fuzzy logic Fuzzy C-means algorithm have shown a reduction in execution time by almost 2 times. The validity of the developed fuzzy knowledge base for the K-means and fuzzy C-

Fuzzy Logic for Underground Mining Method Selection
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with fuzzy logic were used for selecting a mining method for underground metal mine. In this study, only fuzzy logic output parameters The developed fuzzy logic based approach is also

Determining the Tariffs of Physicians Using A Combined Model of Data Mining Techniques and Fuzzy Logic In Health Insurance
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fuzzy logic is the most appropriate tool for controlling So, the output of the data mining techniques enter the fuzzy logic After the variables, the membership functions and fuzzy logic

Design of reasonable initialization weighted enhanced Karnik-Mendel algorithms for centroid type-reduction of interval type-2 fuzzy logic systems
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Abstract: Interval type-2 fuzzy logic systems (IT2 FLSs) already become an emerging technology in recent years. As the most popular type-reduction (TR) algorithms, Karnik-Mendel

Type II Fuzzy Logic Based Cluster Head Selection for Wireless Sensor Network
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Kharel, Green computing in sensors-enabled internet of things: Neuro fuzzy logicbased Balachandran, FLECH: Fuzzy logic based energy efficient clustering hierarchy for nonuniformThis results in the usage of the fuzzy logic of the proposed protocol to calculate routing FLEA-RPL is a routing protocol in which utilizes fuzzy logic for routing metrics to assess the

PERFORMANCE COMPARISON OF INDUSTRIAL CONTROLLER AND FUZZY LOGIC CONTROLLER FOR WATER LEVEL TANK CONTROL SYSTEM
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model for coupled tank, PID controller and fuzzy logic control system. Designed model are fuzzy logic controller gives better performance. The simulated results shows that fuzzy logic

Design of Noniterative Algorithms for Takagi Sugeno Kang Type General Type-2 Fuzzy Logic Systems
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1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic Forecasting by TSK general type-2 fuzzy logic systems optimized with genetic algorithms.

Design Body Mass Index (BMI) and Body Fat Percentage Using Fuzzy Logic
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IS Faradisa, RP Muhammad, DA Girindraswari 103.131.29.27 Fuzzy logic consists of several methods, such as Mamdani, Sugeno, and Tsukamoto. In this study, the Mamdani fuzzy logic Fuzzy logic in this study aims to change the input, in the form

Study on Sentiment Classification Strategies Based on the Fuzzy Logic with Crow Search Algorithm
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This section describes in detail the proposed approach of applying Fuzzy Logic System and Crow Search Algorithm to analyze the sentiment, wherein the first subsection explains the

A New Model of Fuzzy Logic : Monadic Monoidal T-Norm Based Logic
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The goal of this manuscript is to chart the landscape of formal fuzzy logics more specifically, to develop a logic that formally characterizes tautologies (true formulas) in similarity monadic

Rule-Based Fuzzy Logic System for Determining the Strategy of Knowledge Management through Prioritizing of KM Processes
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The aim of this paper is to design a rule-based fuzzy logic system for determining the appropriate In this research, two type-1 rule-based fuzzy systems are designed to model the

Smart optimization of PV panel output using Fuzzy Logic Controller based solar tracker
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This study investigated the effectiveness of the Fuzzy Logic Controller (FLC) application on the solar tracking system in energy saving. The energy-saving is conducted by only moving

Fuzzy Logic ‑Based Energy‑Optimal Collinear DF Relay Placement in Two‑Hop− Fading Channel
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fuzzy logicbased approach, where two inputs path loss (a) an end to end outage act like a fuzzy establishes the optimal relay location as a fuzzy output. Some related literature review [6

Design of Hybrid Sliding Mode Control via Fuzzy Logic Synthesized by Backstepping Approach for Double Star Induction Motor
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control based on sliding mode control via fuzzy logic synthesized by backstepping (FBSMC) mode controller (BSMC) Improved by fuzzy logic is adopted. This control strategy based on The capability of fuzzy logic control to map the complex and the accuracy of the fuzzy logicbased control architecture work has been incorporated through fuzzy logic which is utilized

Sustainable Farming in Soilless Culture Non-Circulating Kratky Method Using Fuzzy Logic Control and Measure Greenness
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This study to control ecosystems introduce fuzzy logic controls and use a computer vision- of data provided via fuzzy logic . Through the microcontroller unit, fuzzy logic evaluates and

Enhanced Virtual Machine Placement in Cloud Data Centers: Combinations of Fuzzy Logic with Reinforcement Learning and Biogeography-Based
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are called FuzzyMOVMrB and FuzzyRLVMrB. These algorithms are the fuzzy versions of MOVMrB and RLVMrB algorithms, which in them we apply a customized fuzzy logic method to

Risk Analysis Model with Interval Type-2 Fuzzy FMEA Case Study of Railway Infrastructure Projects in the Republic of Serbia
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Sets are presented at the Figure where it can be seen that the membership functions are fuzzy values in Type-2 Fuzzy Logic [35-37]. The introduction of fuzzy logic in FMEA is done

Enhanced Edge Detection Technique in Digital Images Using Optimised Fuzzy Operation
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typically depends on fuzzy logic systems. The main goal of this system is to show how fuzzy logic be used in image processing. This paper provides a fuzzy logicbased edge

Implementation of Smart Fuzzy Logic Strategy to Manage Energy Resources of a Residential Power System Integrating Solar Energy and Storage System Using
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Hence, in this research, a fuzzy intelligent controller has been designed and implemented Eventually, the capabilities of the proposed smart fuzzy logic controller have been assessed fuzzy controller can provide adequate results for both transient and steady-state responses in both linear and nonlinear systems, the FOPID fuzzy of FO and fuzzy logic techniques. This

Development of a Fuzzy Controlling Model to Measure the Leanness of Manufacturing Systems
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In our research we develop a lean manufacturing measurement model based on fuzzy logic with a management control aspect. We build our model along lean KPIs and value streams.

Design Analysis of Hybrid System using Fuzzy Controller
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The fuzzy logic controller applied to controller the power output from these sources and Three phase output current, volatge and power after Fuzzy logic controller is discussed in this

Fuzzy based ant colony optimization scheduling in cloud computing
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In the end, a fuzzy logic system is designed for HPSPACO that expands task scheduling in the cloud environment. A fuzzy method is proposed for the inertia weight update of the PSO

Fuzzy sliding mode power control for wind power generation systems connected to the grid
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overcome this problem, we propose the model that combines between fuzzy logic control FLC and sliding mode control SMC [30]. The sliding mode control law is defined by the

Reinforcement learning based feedback control of tumor growth by limiting maximum chemo-drug dose using fuzzy logic
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In this paper, a model-free reinforcement learning-based controller is designed to extract a treatment protocol because the design of a model-based controller is complex due to the

Rezkalla, Michel and Marinelli, Mattia and Burt, Graeme (2017) Implementation of fuzzy logic for mitigating conflicts of frequency containment. In: Proceedings of
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of fuzzy logic . The simulation results for the various scenarios show that apart from being effective, the proposed method can also present better performance compared with classic

Control of the humidity percentage of a bioreactor using a fuzzy controller to grow bonsai.
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The MATLAB script and fuzzy logic Toolbox were used for the analysis and simulation. The controller implementation was done on an Arduino Uno board, and 25850 bytes or 80%

Analysis of Patients Data Using Fuzzy Expert System
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Because it offers representation and inference than imprecise information, Fuzzy logic is The use of Fuzzy Logic concepts in the improvement of expert System of the health field

PREDICTION OF RAINFALL EVENT IN COASTAL REGION WITH FUKYAMMA AND FUZZY EXPERT SYSTEM
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Second, it provides a natural framework to incorporate fuzzy IF-THEN rules from human , fuzzy inference engine, and defuzzifier, so that we obtain the most suitable fuzzy logic

Optimal Power Generation Control of 5-Phase PMSG Based WECS by Using Enhanced Fuzzy Fractional Order SMC
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Abstract: In this research, an intelligent fuzzy logic technique Then, fast reaching law is designed by using Fuzzy Logic behaviour, and constancy of Fuzzy FractionalOrder Sliding Mode

Enhancement of Photovoltaic Pressurized Irrigation System Based on Hybrid Kalman Fuzzy
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system with a hybrid Kalman filter and fuzzy logic (HKF)-based control system. The Kalman filter estimates the maximum power point, whereas fuzzy logic controls the boost converter to

FUZZY CONTROL BASED ON PERTURB AND OBSERVE ALGORITHM FOR MAXIMUM POWER POINT TRACKING PHOTOVOLTAIC SYSTEMS
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The main objectives of this work are tracking and operating at the MPP based on PO and fuzzy logic controller (FLC), regulating the DC link voltage to 650 V. The suggested approach

A NEW TECHNIQUE REVIEW FOR THE GRID CONNECTED WIND-PV USING BACK TO BACK VOLTAGE SOURCE CONVERTERS BY FUZZY CONTROLLER
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Comprehension of what the application of futile logic means through foggy logic is growing. Two alternative definitions have been given to fuzzy logic . Fuzzy Logic is in a narrow sense

Fuzzy Proximity based Robust Data Hiding Scheme with Interval Threshold
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fuzzybased watermarking technique that employs a fuzzyc clustering algorithm based on transform domain derivative features in various directions. Fuzzy logic fuzzy logic has been

Modeling of Pedestrian Flow Density in Signalized Intersections Using Fuzzy Method (Case Study: Rasht City)
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approach was performed using fuzzy logic method. Today, fuzzy logic as an alternative to This idea is based on fuzzy sets rather than classical logic . In the classical set, an object

Statistical Inference for the Parameter of Rayleigh Distribution Through Fuzzy Membership Function
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to classical logic fuzzy logic is defined as a multi-valued logic in logic deals only with two values and these two values are either true or false but fuzzy logic is a many-valued logic

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns
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A preliminary many objective algorithm for extracting fuzzy emerging patterns is presented in this contribution. The proposed algorithm employs fuzzy logic together with an evolutionary

Why Gaussian Copulas Are Ubiquitous in Economics: FuzzyRelated Explanation
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In this paper, we explain this surprising fact by using fuzzyrelated arguments. for this unexpected success of Gaussian copulas, an explanation that used fuzzyrelated ideas.

An Interval Type-2 Adaptive Neuro- Fuzzy Inference System Based, Artificial Pacemaker Design and Stability Analysis
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is an error signal that is applied to PID ( fuzzy logic controller base on ANFIS in our proposed fuzzy logic model, step response was analyzed and compared with the other PID and Fuzzyreasoning offered by fuzzy logic . The resulting product, called the fuzzy decision tree, has Fuzzy decision trees represent knowledge extracted from data more like human decision

A Novel Entropy Measure Based on Similarity Measure for Spherical Fuzzy Sets and Its Application on Multicriteria Decision Making Problems
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The concept of spherical fuzzy sets is one of the tool of fuzzy logic which overcome the Spherical fuzzy set (SFS), which is a generalization of Pythagorean fuzzy set (PFS) and

FCERP: A Novel WSNs Fuzzy Clustering and Energy Efficient Routing Protocol
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algorithm based on a fuzzy system, and fuzzy parameters of parameters for the implemented fuzzy logic in addressing the Fuzzy logic is a multi-value logic in which the correct value of

Commonsense-Continuous Dynamical Systems Stationary States, Prediction, and Reconstruction of the Past: FuzzyBased Analysis
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A natural way to describe such imprecise ( fuzzy ) words in precise terms is to use fuzzy logic technique that was designed exactly for such a transition; see, eg, [ 6]. In this

An Adaptive Neuro- Fuzzy Inference System to Solve Perceptual Aliasing for Autonomous Mobile Robots
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Fuzzy Inference System (ANFIS) model based on first order Sugeno model with 5 layers. Our proposed ANFIS model combines the advantages of both neural networks and fuzzy logic

Fuzzy Matrix Game: A Fast Approach using Artificial Hybrid Neural-Net LogicGate Switching Circuit
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intuitionistic fuzzy set, triangular norm and conorm, hesitant fuzzy logicgate switching circuits are defined with the elementary gate operators; and in Section we develop fuzzy logic

Methods for predicting the assessment of the quality of educational programs and educational activities using a neuro- fuzzy approach
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educational activities based on the adaptive neuro- fuzzy input system (ANFIS), implemented in the package Fuzzy Logic Toolbox system MATLAB and artificial neural network direct Fuzzy logic method has been studied and developed for decades. It is known to fuzzy logic expert knowledge about the control processes can be employed to heuristically design fuzzyFuzzy sets and fuzzy logic have been developed to manage vagueness and uncertainty in a system or a logic control system [6 19]. In this work, we use fuzzy logic to implement the

Design of a Fuzzy Rule Based Expert System for Automatic Raga Selection for Cryptographic Applications
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belong to a set or not, fuzzy logic assigns a membership function for values which varies between the interval [0, 1]. The paper uses a Triangular Fuzzy Number (TFN) which can be In this work, it is proposed to use methods of treatment of subjectivity and ambiguity based on fuzzy logic to obtain a selection of correctly assessed indicators. As a preliminary case of

Naïve Bayes Based Multiple Parallel Fuzzy Reasoning Method For Medical Diagnosis
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A fuzzy expert system is an implementation of fuzzy logic technique which is used for The fuzzy logic is implemented in the fuzzy expert system. There are different types of fuzzy

Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods. Agriculture 202 1 139
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and using fuzzy logic the weights of the criteria are first determined using the fuzzy CRITIC A model for supporting the decision of plum variety selection based on fuzzy logic . J. Cent.

fuzzy logic IEEE PAPER 2021




Coordinated fuzzy logic ‐based virtual inertia controller and frequency relay scheme for reliable operation of low‐inertia power system
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Coordination between protection and control devices is crucial for maintaining continuous operation of power systems. Existing strategies suffer from improper coordination of control and protection devices. Moreover, high penetration levels of renewable energy sourcesThe article describes a decision support system based on fuzzy inference aimed to automate the procedure of choosing a model of formalizing the interaction between actors in virtual communities of social networking services and synergistic management of such processes

Fuzzy Logic Application with MATLAB: Estimating Egg Consumption
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This study provides a model that estimates egg consumption using fuzzy logic based on criteria selected. In the model, the parameters affecting the number of eggs were determined initially and input and output variables were defined. In the next step, fuzzification was

of hydrated-lime activated rice-husk-ash (HARHA) modified soft soil for pavement construction purposes by artificial neural network (ANN) and fuzzy logic (FL)
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Artificial neural network and fuzzy logic based model soft-computing techniques were adapted in the research study for the evaluation of the expansive clay soil-HARHA mixtures consistency limit, compressibility and mechanical strength properties. The problematic clay

Bleeding recognition technique in wireless capsule endoscopy images using fuzzy logic and principal component analysis.
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Wireless capsule endoscopy is the most innovative technology to perceive the entire gastrointestinal (GI) tract in recent times. It can diagnose inner diseases like bleeding, ulcer, tumor, Crohns disease, and polyps in a discretion way. It creates immense pressure and

Rotating Machine Fault Detection based on Fuzzy Logic and Improved Adaptive Filter
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The rotating machine contains the many rotating parts and one rotating part produces additional noise to the others. As a result, fault signatures of the rotating machine are turned out to be quite weak. This paper proposed an effective method to detect the fault signatures To automate the washing process, determination and measurement of system variables is a challenging task. This paper describes the arrangement of different sensors used to detect the system variables as dirtiness of laundry, the quantity of laundry, humidity, and level

Mathematical Comparison of Defuzzification of Fuzzy Logic Controller for Intelligence Air Conditioning System
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The objective of this paper is to compare several defuzzification techniques for the application of an air cooler control design in order to predict the error difference between different methods. The four input parameters are considered to be user temperature (UT)The theory of fuzzy logic is based on the notion of relative graded membership, as inspired by the processes of human perception and cognition. Fuzzy logic deals with the information that arises from computational perception and cognition, which is uncertain, imprecise

Measuring consumer satisfaction to restaurant service: Type-2 Fuzzy Logic Approach
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The type reducer step of Type-2 Fuzzy Logic Systems (T2FLS) is an additional step that distinguishes it from a conventional Type-1 fuzzy logic system (T1FLS) . In this paper the underlying processes of fuzzy inference systems are reviewed and some substantial terms

Open‐switch fault diagnosis in voltage source inverters of PMSM drives using predictive current errors and fuzzy logic approach
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In critical industrial applications fault diagnosis and fault tolerance are considered key features, in order to ensure the required reliability and availability levels. In this context, this paper proposes a new and effective diagnostic algorithm for power semiconductors

CHAPTER 16 FUZZY LOGIC METHODOLOGY FOR PERFORMANCE INTENSIFICATION IN SOLAR POWERED SYSTEM
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Legitimate outlining of the power assorting is needed at the various levels being rural, regional, national and global based in a way to manage the power depletion and the ensuing discharge both the factors simultaneously, such as to maintain the balance. TheThe problem of controlling a stochastic process of separating multicomponent mixtures based on fuzzy logic is considered. Taking into account that the process of separation of multicomponent mixtures is one of the most difficult in order to confirm the multi-dimensional

Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads
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Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted

Performance Evaluation of Different Membership Function in Fuzzy Logic Based Short-Term Load Forecasting.
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ABSTRACT A mismatch between utility-scale electricity generation and demand often results in resources and energy wastage that needed to be minimized. Therefore, the utility company needs to be able to accurately forecast load demand as a guide for the plannedThis project mainly focuses on the DSTATCOM and different control methodology of DC capacitor voltage basically PI controller is used to regulate dc capacitor voltage, by using different control algorithms ie load compensation. However, when loading changes, the DCRecently, autonomous mobile robots have been increasingly developed for many applications related with surveillance, transportation, and inspection. This paper introduces an autonomous robot motion control based on PID, Fuzzy, and Fuzzy-PID controllers. The

Hardware in Loop (THIL 402) Validated Type-I Fuzzy Logic Control of Type-III Wind Turbine System under Transients.
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This paper highlights the study and implementation of various types of Fuzzy structures using rule based interfaces for steady state and transient analysis with Hardware in Loop validation. A mathematical modeling of Type III DFIG based modified wind turbine is

Modeling of Alternating Current Motor Performance for Increased Production Using Fuzzy Logic Controller
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The low productivity experienced in our industries is as a result of not imbibing intelligence in its production mechanism. We know that induction motors are reliable, robust and with good operating characteristics. A means of starting, regulating and controlling operating

Energy Attentive and Pre-Fault Recognize Mechanism for Distributed Wireless Sensor Network Using Fuzzy Logic Approach
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Abstract Wireless Sensor Network (WSN) have transformed over recent years with incredible development in design of smart real time applications. In spite of countless potential, it poses numerous design issues like fault tolerant communication, low latency, scalability The assessment of natural risk and similar meteorological phenomenon risk management is the prima facie for management of Chaotic features associated with the atmospheric phenomena in Bangladesh. This paper interprets a reduced risk model of natural calamities

Determination of GivingTips Using Fuzzy Logic to Determine Restaurant Customer Service Satisfaction
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Page 1. Similarity Check of Determination of Giving Tips Using Fuzzy Logic To Determine Restaurant Customer Service Satisfaction By Anthony Anggrawan WORD COUNT 1773 TIME SUBMITTED 30-APR-2021 07:29AM PAPER ID 71648638 Page 2. 1 1 1 2 4 5 6 6 9 9 10 3 4 5 People all around the world spend billions of email messages daily, and the use of mobile e- mail (e-mail sent via a mobile device) is growing at an astounding rate. Despite its advantages, one of the biggest threats to an email today is Violent and phishing e-mail. This

Multiple-Vector Model Predictive Control with Fuzzy Logic for PMSM Electric Drive Systems. Energies 202 1 1727
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This article presents a multiple-vector finite-control-set model predictive control (MVFCS- MPC) scheme with fuzzy logic for permanent-magnet synchronous motors (PMSMs) used in electric drive systems. The proposed technique is based on discrete space vector

Analysing Student Performance In Higher Education Using Fuzzy Logic Evaluation
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Higher education institutions are currently facing a competitive environment such as the increase in employers‟ demand and the challenges from Industry 4.0. Due to this situation, the industry and society are expecting graduates to have extensive knowledge with critical Estimating the age of human by analyzing the facial image using image-processing and fuzzy logic techniques have lots of potential real-world application, such as human-computer interaction and multimedia communication. Several face detection methods are developed

Fuzzy logic power management for a PV/Wind microgrid with backup and storage systems
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This work introduces a power management scheme based on the Fuzzy Logic Controller (FLC) to manage the power flows in a small and local distributed generation system. The stand-alone Microgrid (MG) includes wind and PV generators as main power sources. The

FUZZY LOGIC CONTROL SYSTEM IN SMART WASHING MACHINE
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The confluence of human decision making and its applications in machines paves the way for fuzzy logic . In this article, the implementation of fuzzy logic in smart washing machines are discussed. It analyses the impact of different input parameters on washing time, and

Experimental validation and Parametric Optimization in MIG welding of A-36 steel plate using Taguchi- Fuzzy logic approach
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Metal inert gas (MIG) welding is one of the most effective and highly economic methods in automotive repair, welding pipes, and machinery reconstruction. Mass production can be achieved by MIG welding as it has a high weld metal deposition rate. MIG welding operating

A FUZZY LOGIC APPROACH FOR MODELING AND PREDICTION OF MECHANICAL PROPERTIES OF Al-5% MAGNESIUM ALLOY DOPED WITH NICKEL
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In this research, the average grain size and mechanical properties of aluminum-magnesium alloy doped with nickel were predicted using Fuzzy logic . The single input to the Fuzzy logic model was variation in percentage weight of nickel, while the multiple outputs were average This paper describes a fuzzy logic based slip controller for an induction motor, with efficiency optimization for steady state operation. The speed control is accomplished through a Mandani type fuzzy controller, with 11 rules, taking speed error (built with 5 Membership

FLAG: Fuzzy Logic Augmented Game Theoretic Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Networks
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Abstract Stability of the Wireless Sensor Network (WSN) is the most critical factor in realtime and data-sensitive applications like military and surveillance systems. Many energy optimization techniques and algorithms have been proposed to extend the stability of a

Cluster Formation using Fuzzy Logic in Wireless Sensor Networks
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The biggest challenges faced by wireless sensor networks (WSNs) are the network lifetime and consumption of energy. To reduce the amount of energy used by WSNs, high quality clustering proves to be a crucial approach. There are multiple criteria that need to be

Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan. Energies 202 14
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In order to reduce the load demand of buildings in Japan, this study proposes a grid-tied hybrid solar wind hydrogen system that is equipped with a maximum power point tracking (MPPT) system, using a fuzzy logic control (FLC) algorithm. Compared with the existing

Fuzzy Logic Design Approach for A Singly Reinforced Concrete Beam
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This paper presents the Fuzzy logics approach for a singly reinforced concrete beam. The rules are generated for the FIS for the variables. The width, and the moment constitutes the crisp data for the inputs and the steel ratio represents the crisp output. The MATLAB fuzzy

Fuzzy logic control of active and reactive power for a grid-connected photovoltaic system using a three-level neutral-point-clamped inverter
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This paper aims to present a fuzzy logic control (FLC) of active and reactive power for a grid- connected photovoltaic system. The PV system is connected to the grid utility using a three- level neutral point clamped inverter (3L-NPC) and LCL filter. Two control strategies, fuzzy

OPTIMIZATION OF BIO-LUBE PRODUCTION USING THE AUTOMATED FUZZY LOGIC CONTROLLED TEMPERATURE BIOREACTOR AND D-OPTIMAL
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Optimization of process parameters of many existing biolubricant were carried out based on the factor interactions and yield without putting the physicochemical properties into consideration. The aim of the work is to optimize the reaction temperature and time for the This paper presen tsan original use of fuzzy logic for the design of Case-Based Reasoning (CBR) assistants, mainly for the case retriev al step. Our motiv ation comes from the importance of allo wing for the expression of exible data (incomplete and imprecise data

A Fuzzy Logic Adaptive Image Resize (Resolution) Level using Cross-Layering in Wireless Multimedia Sensor Networks
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The increasing interest in wireless sensor networks with the rapid growth in micro- electronics technology has made it possible to deliver multimedia content over Wireless Multimedia Sensor Networks (WMSNs). There are several main peculiarities that make the

Fuzzy Logic Based MPT for Photovoltaic Based Power System
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Wireless sensor networks (WSNs) have garnered much interest among researchers. One of the critical applications of WSNs is in the detection and mitigation of forest fires . Many mobile ad-hoc networks (MANET) for forest fire surveillance technologies are presented in




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