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127 articles for “Fuzzy modeling”
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Fractional Riemannian Fuzzy C-Means with Time-Series Regularization for Economic Manifold Forecasting
Abstract: A fractional Riemannian fuzzy c-means framework is proposed for uncertain economic forecasting on non-Euclidean data domains. Observations are represented on a Riemannian manifold, cluster centres are intrinsic prototypes, and a latent fuzzy regime signal is regularised by both autoregressive and fractional-memory penalties. The resulting objective couples geometric clustering with time-series consistency, thereby discouraging partitions that are locally plausible but temporally incoherent. Closed-form membership updates, exponential-map centre updates, normal equations for …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 49–55 Read article
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Plastic Recycling Process Using Fuzzy Analytical Hierarchy Process
Abstract: Recycling is known to most people as an activity in domestic waste separation with huge financial benefits. However, material reclamation flows at many scales play important roles in a number of industries. The waste generated from the plastic is a huge some, in which polyethylene is 34% of total plastic waste. So it is highly crucial to select the best plastic recycling process. Fuzzy AHP is a synthetic extension of …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 2, 2015 · pp. 17–22 Read article
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Representation-Theoretic Symmetry Reduction and Fuzzy-Grey Optimization of Modular Vibration Systems
Abstract: This paper presents a representation-theoretic framework for symmetry-aware vibration control in modular structural systems. Exploiting cyclic symmetry, the mass, damping, and stiffness operators are block-diagonalised into irreducible representations, reducing the full structural dynamics to a collection of lower-dimensional modal subsystems. This decomposition provides both computational efficiency and a rigorous mathematical description of symmetry-preserving dynamic behaviour. To account for imperfections arising in practical implementations, near-symmetry defects in stiffness and damping are …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 22–30 Read article
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Design and Simulation of Fuzzy Logic Based Speed Control of Electrical Vehicle with Induction Motor Taking Core Loss and Stray Load Losses into Account
Abstract: In modern technology, electrical differentials to design electrical vehicle are getting popular for its simplicity, faster response, accurate control capability and other facilities. The controller design for the distinctive motors is a captivating and challenging work to acquire, sought execution appropriately. For this, different kind of controller is used to get accurate results. For induction motor, it is very important to control the speed and torque to get smooth control …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 1, 2017 · pp. 41–48 Read article
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Lyapunov-Stable Adaptive Fractional-Order Interval Type-2 Fuzzy Control for Robust Anti-Lock Braking Under Uncertain Road Adhesion Conditions
Abstract: This paper proposes a Lyapunov-stable Adaptive Fractional-Order Interval Type-2 Fuzzy Logic Controller (FO-IT2FLC) for robust anti-lock braking system (ABS) control under nonlinear vehicle dynamics and uncertain road adhesion conditions. The proposed framework integrates fractional-order error dynamics to capture memory-dependent tire–road interaction, interval Type-2 fuzzy inference to model uncertainty via footprint-of-uncertainty representation, and a Lyapunov-based adaptive learning mechanism for real-time parameter tuning. A rigorous stability proof guarantees boundedness of all closed-loop …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 31–41 Read article
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Advancements in Multiple-Input DC–DC Converters for Hybrid Renewable Energy Systems: Topologies, Control Strategies, and Applications
Abstract: Multiple-input DC to DC converters (MICs) are essential components in hybrid energy systems, enabling efficient management of diverse energy inputs from renewable sources such as solar photovoltaic (PV) panels and wind turbines. These converters facilitate the seamless integration of variable power outputs, addressing the intermittent nature of renewable energy through advanced power electronics. This paper provides a comprehensive review of the topologies, control strategies, and applications of MICs within renewable …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 10–17 Read article
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Performance Analysis of Hierarchical and Non Hierarchical Clustering Techniques
Abstract: Clustering is a procedure to organizing the objects in to groups or clustered together, based on the principle of minimizing the intra-class similarity. The various clustering algorithms are analyzed and compare the performance of clustering algorithms on aspect for validity indices to build the model. The aim is to judge the efficiency of different clustering techniques on wine dataset and determine the optimum algorithm. The results show that complete linkage …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 54–71 Read article
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Quantum-Fuzzy Tensor Operators for Multi-Qubit Conjunction, Disjunction, and Symmetry-Preserving State Discrimination
Abstract: The integration of fuzzy logic and quantum information theory raises a fundamental mathematical question: how can degrees of truth be encoded in multi-qubit amplitudes while preserving the unitary dynamics and symmetry structure of quantum state spaces? This paper develops a tensor-operator framework for implementing quantum-fuzzy logical operations on finite qubit registers. Fuzzy truth values are represented by normalized quantum amplitude pairs, enabling logical information to be embedded directly into quantum …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 16–21 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Multi-Criteria Decision Making for Relation between Modern Industrial Systems
Abstract: The aim of this research is to find relation between various modern industrial systems using multi-criteria decision making i.e., fuzzy algorithm. The proposed model is focused on integrating and managing the flow of material and information to make industrial systems more responsive to customer demand. Keeping this view, it is try to create a generalized software program with the aim of minimizing inventory. With the use of Fuzzy process and …
Published in Recent Trends in Programming languages · Vol. 5, Issue 3, 2018 · pp. 1–7 Read article
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Design of Controller to Evaluate Optimal Chemical Ratio in Starch Modification Process
Abstract: In modern times, the modified starch industry uses chemical modification process which involves physical monitoring and labor-intensive addition of chemicals with native starch. So, chemical modification process needs exact calculation of chemical proportion to be mixed with the native starch according to the applications of industrial requirements. In order to reduce the physical error during manual mixing of chemicals and monitor the environmental safety of chemicals, it is important to …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 15–19 Read article
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Classification of PQ Disturbances in Induction Motor using Neuro-Fuzzy
Abstract: This paper presents a methodology of classification of PQ disturbances in the supply to induction motor using ANFIS. Wavelet transform is applied to the stator currents for the extraction of the signature indicating the variations in the supply. These wavelet coefficients are fed as input to ANFIS. This data has been divided into two sets: 37 training data set and 38 testing data set. The training data set has been …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 1–8 Read article
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Orchestration of Robotic Platform and Implementation of Adaptive Self-Learning Neuro-Fuzzy Controller
Abstract: AbstractThe paper presents design, development and implementation of a robotic platform based on orchestration model. An orchestration model helps the user to reuse the services and provide easy porting from robot to robot with reduced project development time. Orchestration of Robotic Platform (ORP) is simple and based on open source Arduino architecture. The hardware of platform consists of sensors, actuators and Arduino board. The software deploys orchestration-programming model. An Adaptive …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 3, 2017 · pp. 17–29 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Simulation and Performance based Comparison of GA-Fuzzy-ANN based Shunt Active Power Filter for Power Quality Improvement in High Frequency Aircraft System
Abstract: A novel improved artificial neural network control primarily based craft shunt filter has been projected during this paper. The shunt active power filter model has been improved using Genetic algorithmic program and fuzzy logic. Genetic algorithmic program has been accustomed realize the optimum value of filter inductor; whereas fuzzy logic controller has been utilized in voltage control loop of the filter. The advance within the control scheme using artificial neural …
Published in Journal of Aerospace Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 62–70 Read article
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Object Oriented Web Software Maintainability using Fuzzy Logic
Abstract: In the software development lifecycle, maintenance is the most costly activity because it requires more effort compared to other activities. Maintainability is considered as important factor for development of good quality software. Nowadays web application is very complex and hard to maintain. In order to estimate the maintainability of object oriented web application, this paper uses some quantitative metrics for predicting maintainability of object oriented web application. Maintainability can be …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 3, 2016 · pp. 1–7 Read article
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Modeling of Patient of Type 1 Diabetes for Blood Glucose Control
Abstract: The recent development in the insulin delivery system is the automatic one. The blood glucose levels are controlled by the feedback loop. The initial success with the simple models in normalizing blood glucose level led to the improvement of the devices including variety of control system. The insulin delivery system to diabetic is a tedious job and doesn’t ensure proper performance and leads to various complications if the delivery of …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 30–35 Read article
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A Fuzzy Theory-Based Control of a Chopper-Controlled Converter DC Machine Drive
Abstract: A fuzzy controller is designed for closed loop control of Chopper controlled generator load coupled separately excited DC motor and presented in this paper. This system has been designed to have two loops with an inner fuzzy current controller and an outer fuzzy speed controller. A linear model of closed loop system is developed by using small perturbation technique including the effect of generator load, the armature reaction and the …
Published in Recent Trends in Electronics Communication Systems · Vol. 1, Issue 3, 2014 · pp. 1–15 Read article
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Timely Diabetes Possibility Prediction Using AI Techniques
Abstract: The fastest chronic life-threatening disease affecting more than 422 million people globally is diabetes. The primary causes of type 2 diabetes are lifestyle choices and environmental factors. It is a slowgrowing disease which starts to develop metabolic factors long before they evolve into a disease and is formally diagnosed by a fasting sugar test. There are records of indications related to diabetes from 520 patients in the dataset that was …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 37–47 Read article
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Beyond Binary: A Holistic Exploration of Fuzzy Logic Systems in Control Theory-An Extensive Review and Future Directions
Abstract: Now a days non renewable energy or conventional energy sources are reduced due to the increased usage of energy for several purposes, for that renewable energy source are introduced for the same. This help islanded areas electrification, several methods are used for the storage and distribution of energy. one of the technique is fuzzy logic control, in this paper discuss about the usage of energy and fuzzy logic system usage …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article