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86 articles for “Fuzzy model”
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Energy Management of a Solar Powered Electric Vehicle with Multiple-Energy Storage via Optimized Fuzzy Controller
Abstract: The optimum energy management is the main challenge of powered electric vehicles (EVs) with multiple energy storage systems. The solar powered EVs are enabled with multiple energy sources and storages, and so, achieving the optimum energy management schedule is a complicated optimization problem. This paper develops an optimized fuzzy controller using genetic algorithm (GA) for energy management of solar powered EV equipped with photovoltaic cells as well as two power …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 3, 2016 · pp. 28–38 Read article
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Design of Smart Filter for Impulsive Noise Cancellation in Images
Abstract: Noise is nature inherent. It can affect any type of signal or noise at the time of acquisition. Impulsive is one of the noise which appears suddenly with the signal or noise. In this paper, we have considered the images affected by impulsive noise. A filter based on fuzzy logic is designed and it can suppress noise in any environment at any time. It is based on standard fuzzy rules …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 56–65 Read article
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Intelligent Power Quality Enhancement Strategies for PV-Integrated Smart Distribution Networks: A State-of-the-Art Review
Abstract: The rapid integration of photovoltaic (PV) systems into modern power distribution networks has introduced significant challenges related to power quality. Issues such as voltage fluctuations, harmonic distortion, flicker, and reactive power imbalance arise due to the intermittent and nonlinear nature of solar energy generation. This paper presents a concise literature review of various power quality enhancement techniques employed in PV-integrated networks. Key approaches include the use of active power filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 30–53 Read article
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Application of Portfolio Using Fuzzy Logic
Abstract: ABSTRACTA portfolio has to match the portfolio of long-term liabilities with the portfolio of assets. Key instruments in strategic asset liability management (ALM) are the adjustment of investments with respective policies and their interest rate analogous with the scenario of the market. We have given mathematical formulation of the investment problem in terms of stochastic problem (SP) and finally represented it in terms of Fuzzy Inference Engine by providing a …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 16–25 Read article
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Prediction of shear strength of reinforced concrete beams using Artificial Neural Network and evaluated by Finite Element Software
Abstract: ABSTRACTIn this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference Framework (ANFIS) are utilized to foresee the shear quality of Reinforced Concrete (RC) shafts, and the models are contrasted and American Concrete Institute (ACI) and Iranian Concrete Institute (ICI) observational codes. The ANN display, with Multi-Layer Perceptron (MLP), utilizing a Back-Propagation (BP) algorithm, is utilizedto foresee the shear quality of RC pillars. Six vital parameters are chosen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 1, 2018 · pp. 34–42 Read article
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Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 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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Comparative Studies of Three MPPT Strategies for Solar PV System
Abstract: The solar power technology is one of the most predominant technologies that serve as a major source of power supply. But, its initial cost is too high and its lesser efficiency has not made its use very attractive as an alternate. Hence, it is quite critical to use maximum power available from the solar PV panel and operate it at its highest energy conversion output. For this, the solar PV …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 3, 2016 · pp. 24–34 Read article
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Unveiling Patterns in Complexity: The Role of Simple Statistics and Fuzzy Mathematics in Data Analysis
Abstract: In this study, statistical methods must be integrated with fuzzy mathematics to solve complex data. Statistical methods offer clear, unbiased, and computationally feasible tools for analysing numerical data. whereas fuzzy mathematics excels in describing the vagueness and ambiguity of human feeling by way of linguistic variables, membership functions, and inference systems. Giving it an apparent advantage when modelling complex conditions. Hybrid frameworks offer fine-grained decision-making and resilient adaptability to real-world …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 01–10 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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Design and Analysis of Hybrid System using Fuzzy Logic Controller
Abstract: The overall system is controlled by fuzzy logics. Load power consumes the power in sequence to solar power, wind power and the battery system power. Accordingly power delivered to the load. In the proposed framework, power is overseen or constrained by fluffy rationale regulators. The exhibition enhancement of half breed framework is examinations with sunlight based PV boards, wind turbine and the battery frameworks. The overall model & controlling strategies …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 2, 2021 · pp. 21–27 Read article
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Controller Performance Assessment (CPA) of Intelligent Control for Non-linear System
Abstract: The objective of this paper is to design and undertake comparative analysis of classical and intelligentcontrollers for nonlinear system. These controllers are compared based on controller performanceassessment in which the different parameters as overshoot, steady-state error, rise time, settling time,response of reference change and output variance are analyzed. To achieve these objectives, the water tankcontrol problem as nonlinear system has been built in Simulink and implementations traditionally classicalcontroller and advance …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 25–33 Read article
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Speed Control of Electric Drives Using Soft Computing Techniques
Abstract: The speed control of electric drives is a challenging engineering problem. The direct torque control (DTC)method is characterized by its simple implementation and a fast dynamic response. Soft computingtechniques, viz., fuzzy control are ways for controlling a system without the need of mathematical model. Ituses the experience of people’s knowledge to form its control rule base. There are two techniques to controlthe speed of electrical drives. The traditional technique uses …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 50–58 Read article
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State Predominant Concept of PSS Design
Abstract: This paper presents the design of Power System Stabilizer (PSS) based on state predominant concept. An approach based on state predominant PSS with LQR for low frequency oscillation damping, Pole Placement and fuzzy control has been presented. The concept has been tested for both SMIF and multi machine system. The mathematical model of multimachine has been derived and the system has been simulated for various operating point changes, the results …
Published in Trends in Electrical Engineering · Vol. 2, Issue 1-2-3, 2012 · pp. 45–56 Read article
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Revolutionizing Urban Traffic Management: An AI and Multi-Agent System Approach Leveraging IoT Technology
Abstract: Our study addresses the challenging issue of traffic congestion in modern urban areas and the limitations of traditional solutions like road expansion and network indicators. To effectively tackle traffic congestion, the study explores various strategies that analyze traffic elements, falling into the Macroscopic and Microscopic Models. However, conventional traffic modeling faces significant challenges in dealing with complex traffic systems.Artificial Intelligence (AI) techniques, including fuzzy logic, evolutionary algorithms, neural networks, and …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 26–33 Read article
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Multi-objective Optimization Methods for Various Power System Problems
Abstract: This article discusses numerous features of multi-optimization approaches as applicable to challenges relating to the optimization of power systems, such as optimum power distribution network reconfiguration, optimal distributed generator placement and sizing (allocation), optimal D-STATCOM placement and sizing (allocation), simultaneous network reconfiguration and distributed generator allocation and simultaneous distributed generator and D-STACOM allocation, are discussed. The related objectives considered in these optimization problems are also discussed with respect to the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 35–39 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Reduction of Harmonics for Isolated Diesel Generation System with DSTATCOM Using Fuzzy
Abstract: This paper presents the compensation of reactive power, harmonics, and unbalanced load current of diesel generator set for an isolated system by controlling voltage source convertor (VSC) which is working as distribution static synchronous compensator (DSTATCOM). Here least mean square based adaptive linear element (ADALINE) is use to extract balanced positive sequence real fundamental frequency component of the load current for converter and used to control DSTATCOM. For fast dynamic …
Published in Journal of Automobile Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 12–22 Read article