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71 articles for “fuzzy sets”
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Level Control of Tank System: Comparative Approach
Abstract: Level measurement and control and monitoring are important for many products and processes in a diverse range of industries including manufacturing, storage and service industries. In this paper liquid level in the cylindrical tank is to be controlled at desired value. The composite controllers of proportional integral controller and proportional integral derivative controller was designed using Ziegler Nichols tuning for the cylinderical tank system. The fuzzy logic controller was implemented …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 2, 2015 · pp. 9–12 Read article
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Review on Weather Events Forecasting Using Data Mining Algorithms
Abstract: Weather events forecasting is the most imperious and stimulatingfunctioning responsibilities supported by meteorological departments worldwide. Amongst all weather events, rainfall plays the most authoritative role in the life of human beings. Human society to a great level depends upon its frequency at various scales. Data mining is a process that mechanically abstracts useful patterns from a given data set. Thecommon algorithms and techniques for rain forecasting like Artificial Neural Networks …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 12–22 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
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Fuzzy Logic and Fuzzy Logic Sun Tracking Control
Abstract: Fuzzy logic could be a rule-based call method that seeks to unravel issues wherever the system is tough to model and where ambiguity or unclearness is thick between two extremes. Mathematical logic permits the system to be outlined by logic equations instead of complicated completely differential equations and comes from a thinking that identifies and takes advantage of the greyness between the 2 extremes. Mathematical logic systems are composed of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 3, 2021 · pp. 9–19 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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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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A Fuzzy Logic Approach to Measure the Complexity of Component-based Software
Abstract: Component-Based Software (CBS) Development is now a widely accepted software methodology to manage the increasing complexity and maximize the reuse of code. This paper presents a complexity metric combined with three submetrics for measuring the complexity of a CBS. This complexity metric incorporates three key aspects—coupling, cohesion and interface complexities. To automate the complexity measurement of a CBS, a tool has been developed using fuzzy logic. For this tool, a …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 2, 2014 · pp. 1–9 Read article
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A Study of Fixed-Point and Best Proximity Point
Abstract: Fixed-point theory plays a fundamental role in nonlinear analysis and has significant applications in optimization, differential equations, and applied mathematics. This study investigates the existence and properties of fixed points and best proximity points for various classes of mappings defined on metric and normed spaces. While fixed-point results guarantee the existence of a point that remains invariant under a given mapping, such points may not exist when the mapping is …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 28–39 Read article
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AN INTELLIGENT OPTIMUM RELATION BASED MPPT CONTROLLER FOR A WIND GENERATOR SYSTEM
Abstract: Abstract:Permanent magnet synchronous generators in wind generation systems are equipped with two sets of converters connected back to back. For maximum power transfer under variable wind speed conditions, the generator side as well as grid side converter reference settings have to be optimized. In this article, the generator side converter speed settings are determined through an adaptive neuro-fuzzy algorithm for extracting maximum power from wind. The algorithm contains two series …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 34–50 Read article
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Comparison of Mamdani and Sugeno Fuzzy Inference Systems for a Three Tank Level Control System
Abstract: The level control of a three tank system has become a research focus due to the nonlinear process and multivariables. It is well known that the conventional controllers are suitable to control linear processes and their design is based on the exact mathematical model. In this paper, we developed a mathematical model for a three tank system and proposed an effective controller design based on fuzzy logic by which more …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 2, 2014 · pp. 14–20 Read article
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A High-Efficiency Fuzzy-Logic-Controlled Wireless Charger Enabling the Safe Integration of Electronics in Carbon Fiber Reinforced Polymer E-Bikes
Abstract: The integration of advanced electronics into structures made from carbon fiber reinforced polymers (CFRP) presents significant challenges, including thermal management constraints, electromagnetic interference (EMI), and the imperative for lightweight components. This study addresses these challenges by designing and validating a fuzzy logic-based wireless charging system specifically engineered for lightweight E-Bikes employing CFRP frames. The system mitigates thermal risks associated with the low thermal conductivity of polymer composites by implementing a …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1159–1172 Read article
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PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems
Abstract: In this paper a two-area system: area-1, which has a thermal power plant, and area-2, which contains a nuclear power plant. By combining these domains, two area thermal-nuclear systems are developed in the MATLAB Simulink framework. To ensure the quality of power generated and to feed the load, generation should be raised in tandem with the growth in load demand, or the network should be connected. Using various controllers, LFC …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 1–9 Read article
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Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 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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Modelling & Simulation Of Fuzzy Logic Based Controller For Energy Storage System
Abstract: AbstractThe problem of transient stability in multimachine model is a semi-infinite optimization problem for nonlinear phenomenon in network of energy storage system. As this involves several sets of differential equations and algebraic constraints; therefore the application of several mathematical programming techniques won’t be enough to solve the problem. In the past several ad hoc algorithms had been proposed. This study presents a new methodology to restore the transient stability by …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 9–15 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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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 13–19 Read article
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Artificial Intelligence in Medical Fields
Abstract: Artificial intelligence (AI) is a branch of computer science capable of analyzing complex medical data. This can be used in diagnosis, treatment and predicting outcome in many clinical scenarios. Medicine and internet searches were carried out using the keywords ‘artificial intelligence’ and ‘neural networks’. An overview of different AI techniques is presented in this paper along with the review of importance in clinical applications. The proficiency of AI techniques has …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 1, 2019 · pp. 1–3 Read article
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Fuzzy Minimum Spanning Tree Problem: A Greedy Algorithm using Quasi-Gaussian Fuzzy Weights
Abstract: The classical Minimum Spanning Tree Problem (MST) deals with determining the spanning tree in a given undirected graph G(V, E) for which the sum of the weights assigned to the edges is minimum. The weights assigned to the edges are real numbers representing parameters like demand, cost, link capacity and distance which are not naturally precise and the uncertainty involved can be modelled using fuzzy numbers. There are several types …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 15–22 Read article
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A Web-Enabled Fuzzy Expert System Shell for Flower Rose
Abstract: ABSTRACTThis paper presents a proposed expert system shell ROSEX. ROSEX deals with horticulture domain mainly for flower rose. The objective of development ROSEX is to facilitate farmers who involved in horticulture sector to provide complete details about variety, soil, temperature, environment, diseases and pests related to rose flower. We apply live data which was gathered from district headquarter of horticulture, Baghpat (Uttar Pradesh) India. For implementation, a fuzzy based technique …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 35–45 Read article