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24 articles for “fuzzy continuity”
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Fuzzifying Topology Generated by Fuzzy Metric
Abstract: The purpose of this study is to present a new method to generate a fuzzifying topology with fuzzy metrics in Kramosil and Michalek sense. For this, with the help of fuzzy metric, we obtained parameter-dependent crisp topology bases and thus a family of topologies. This family consists of the level topologies of the fuzzifying topology to be generated. Then, we studied the continuity of transformations between generated fuzzifying topologies and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 3, 2022 · pp. 30–38 Read article
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Study and Analysis of the Results in Fixed Point Fuzzy Metric Spaces
Abstract: The main objective of this study is to use rational inequalities to demonstrate several purpose theorems mounted on fuzzy metric domains. The findings of numerous writers in the body of literature already exist, and our results expand and generalize them. We also provide several applications to back up our findings. In this study, the topic of fixed points in fuzzy metric space is the main focus. It inspires us to …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 1, 2023 · pp. 1–7 Read article
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Problem of pricing American Fuzzy Put Option Buyer’s Model for general Trapezoidal Fuzzy Numbers
Abstract: Fuzzy American put option pricing in both discrete and continuous time by using fuzzy random variables and fuzzy expectation based on the decision maker's subjective judgement was studied by Yoshida. American Fuzzy Put Option Model (AFPOM) based on fuzzy risk-neutral probability measure was defined by Muzzioli and Reynaerts using non-overlapping trapezoidal fuzzy numbers. In this study, we introduce a new fuzzy risk-neutral probability measure for a more general class of …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 27–37 Read article
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Fuzzy Logic and Internet of Things based Automatic Three Phase Changeover
Abstract: Three phase supply is preferred over single-phase supply not only in commercial sector but also in residential sector due to its ability of supplying uniform and less fluctuating power. However phase cuts or phase failure may occur in a three phase supply due to a disturbed transformer or any other technological factor. This generally renders one phase inoperative. A commonly available solution is manual three phase changeover switch. Manual switching …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 3, 2018 · pp. 1–11 Read article
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Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique
Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 7–12 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 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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Real-time Water Quality Analysis Using Fuzzy Logic
Abstract: Nowadays the availability of safe drinking water is very difficult. In our project we are analysing water quality using different parameters like pH, turbidity, temperature and TDS for determining its safety level by monitoring the data from the readings. Moreover, we have a monitoring system for the data and also a webpage where all the data from these system is displayed. The sensors are connected to an Arduino Nano microcontroller …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 01–11 Read article
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Using Fuzzy Control System Develop Boost DC-to-DC Converter
Abstract: The main motive of this study is to use MATLAB Simulation to design a FLC (fuzzy logical controller) for a boost DC-DC converter. By creating an FLC algorithm, the FLC was integrated into the system. This implies that the controller bases its control decisions on the concepts of fuzzy logic. The inductor has undergone extensive design and calculation work to guarantee that the transformer runs in mode of continuous conduction. …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 22–28 Read article
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Fuzzy Based Power Flow Control in Grid Connected Hybrid PV-PEMFC Microgrid System
Abstract: This paper evaluates the performance of a fuzzy based power flow control of grid connected hybrid system. The hybrid system composed of a Photovoltaic (PV) array and a Proton exchange membrane fuel cell (PEMFC) is considered. The photovoltaic (PV) array normally uses a maximum power point tracking (MPPT) technique to continuously deliver the highest power to the load when there are variations in irradiation and temperature occur, which make it …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 20–29 Read article
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Common Fixed-Point Theorems Satisfying Integral Type Contractive Conditions
Abstract: In this paper, we establish common fixed-point theorems using a contractive condition of integral type. Also, we prove common fixed-point theorems, from a smaller class of compatible continuous mappings to larger class of weakly compatible mappings without using continuity. In the present paper, we establish common fixed-point result for four mappings satisfying a more general contractive condition of integral type and using the recent concept of weak compatible maps.Keywords: compatible …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Group-Theoretic Symmetry Indices for Modular Building Layouts under Seismic Load Redistribution
Abstract: Symmetry in modular buildings operates simultaneously as an architectural language, a structural regularizer, and a computational design variable. This paper develops a group-theoretic framework for evaluating and optimizing plan symmetry in modular buildings subjected to seismic load redistribution. The building layout is modeled as a finite occupancy–stiffness field defined on a rectangular lattice, where each module encodes both mass and stiffness contributions. Planar reflections and quarter-turn rotations are represented as …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 01–07 Read article
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Total Quality Management Initiatives for Enhancing the Performance of Manufacturing Companies: An Empirical Investigation
Abstract: Total quality management is the industrial management approach of reducing defects by improving the processes. This study has been carried out in SMEs of northern India which have implemented TQM initiatives and faced different barriers in its successful implementation. Questionnaire survey has been performed followed by Qualitative and Quantitative modeling including interpretive structural modeling, fuzzy set theory, and structural equation modeling. Results of investigation recommended that resistance from employees is …
Published in Journal of Production Research & Management · Vol. 9, Issue 3, 2019 · pp. 41–55 Read article
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Design and Implementation of Intelligent Obstacle Avoiding Robot
Abstract: The Intelligent Obstacle Avoiding Robot is an autonomous robotic system designed to navigate safely through unknown or congested environments by detecting and avoiding obstacles in real time. This robot integrates sensor modules, embedded control systems, and intelligent decision-making algorithms to achieve smooth and collision-free movement. Ultrasonic, infrared, or LiDAR-based sensors are used to continuously measure the distance between the robot and surrounding objects. The sensor data is processed by a …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 1–6 Read article
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Faults Detection Techniques of Three Phase Induction Motor: A Review
Abstract: Induction motors are the most commonly used machines in industries. It is very robust, inexpensive and easy to maintain. Induction motors appear to various faults during their operation. Accurate fault identification is the prime industrial need to reduce breakdown, maintenance and revenue losses. Therefore, an early fault detection is needed for the protection of the motor against electrical and mechanical failures for continuing their operation safely. The main perspective of …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 45–49 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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Expanding Hicks Contraction Theory, Multi-Valued Mappings in Generalized b-Menger Spaces
Abstract: This paper extends the Hicks contraction theory to multi-valued mappings within generalized b-Manger spaces, a class of metric-like structures that accommodate more flexible distance functions. By introducing new definitions, such as generalized admissibility conditions and weak compatibility in the multivalued sense, we provide a comprehensive analysis of how these contractions behave in broader topological and metric contexts. Our approach systematically generalizes classical contraction principles by relaxing conventional constraints, thereby broadening …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 1–05 Read article
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VeriSci—AI-Based Multi-Modal Research Assistant
Abstract: The exponential growth of scientific literature is a major bottleneck for academic researchers who want to efficiently discover, assess, and synthesize relevant scholarly knowledge. Traditional methods of literature review are heavily reliant on manual keyword searching, human screening, and subjective data extraction, making them time-consuming, susceptible to cognitive bias, and less effective as the tidal wave of information continues to grow. To overcome these limitations, this study introduces VeriSci, an …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 20–27 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Comparative Analysis of Artificial Intelligence-based MPPT Algorithms for Wind Energy System
Abstract: By extracting maximum possible power from a wind generator system, the efficiency of the system can be increased. Radial basis function (RBF), feed forward back propagation (FFBP) and adaptive neuro-fuzzy inference system (ANFIS) are recognized as the universal estimators. This paper presents a single network based maximum power point tracking (MPPT) of a wind turbine system using these algorithms. The single network based maximum power extraction method is simple and …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 3, 2020 · pp. 7–18 Read article