Search
86 articles for “Fuzzy model”
-
Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Fast Fuzzy Network Model
Abstract: Fuzzy is applied to design a network model for performing efficiently in this paper. The probability theory is applied to analyze the existed network model and the advantages transformed into the proposed fast fuzzy network model. Various analysis techniques and formulations are presented in this paper. The resultant is the fast fuzzy network with minimized error and maximized the security over the standard computational complexity.
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 2, 2019 · pp. 33–38 Read article
-
Modeling of Fuzzy Logic Controller for Photovoltaic Maximum Power Point Tracker
Abstract: In this paper a fuzzy logic controller for maximum power point tracker of photovoltaic (PV) energy system isintroduced. This controller uses a boost converter to control the terminal voltage of PV system to work at themaximum power point. The load side consists of battery and control switches to control the power flow from thePV system to the battery and the load. The system is modeled using Matlab/Simulink program. The output …
Published in Trends in Electrical Engineering · Vol. 1, Issue 1-2-3, 2011 · pp. 23–35 Read article
-
Design of Microsmart Grid Fuzzy Controlled Model for Sustainable Power Supply in Rural India
Abstract: India is facing acute shortage of electricity especially in rural sectors due to shrinking of conventional grid supply. The expansion of grid network has become almost standstill due to depletion of raw material (i.e., fuel, coal, etc.) day by day. As a result, the sustainability of utility (grid) power supply to rural houses has become poor. In this paper, a fuzzy control-based microsmart grid model has been proposed and developed …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 1, 2015 · pp. 8–13 Read article
-
STUDY OF CONCURRENTLY FACTORY LAYOUT DESIGN AND OPTIMIZATION
Abstract: Facility layout issues are found in many forms of design and manufacturing setting. These facilities enable to layout and optimize factory designs in a shared environment. You can quickly develop factory layouts victimization 3D and constant sensible objects, material handling, logistics, and indirect labor are optimized by comparison part routing data, material storage needs, and material handling instrumentation specification against the plant layout. This method permits manufacturing firms to make …
Published in Journal of Production Research & Management · Vol. 12, Issue 3, 2022 · pp. 35–45 Read article
-
Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
-
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
-
Fuzzy Logic and Energy Model based Speed and Direct Torque Control of SVPWM Inverter Fed Induction Motor
Abstract: This paper presents speed and direct torque controllers based on fuzzy logic for a space-vector modulated pulse width modulated inverter fed induction motor. The direct torque control has been designed by decoupling the torque and flux based on the energy model of induction motor. The designed direct torque control system can be accomplished by using constant switching frequency with space vector modulated pulse-width modulated inverter. In order to control the …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 1, 2014 · pp. 11–21 Read article
-
A Quantitative Fuzzy MCDM Framework for Decision Support in Uncertain Environments
Abstract: Fuzzy mathematics play an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and it signs other possible solutions in addition to fuzzy mathematics. Fuzzy models offer a versatile and precise approach to assessing complex situations through the use of fuzzy sets, membership functions, and aggregation methods. Through time, cost and quality, the project management case study illustrates how fuzzy logic works for them. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
-
Fuzzy Mathematics in Decision-Making: A Quantitative Perspective
Abstract: Fuzzy mathematics plays an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and highlights other possible alternatives alongside fuzzy methodologies. Fuzzy models offer a versatile and precise approach to assessing complex and uncertain situations using fuzzy sets, membership functions, linguistic variables, and aggregation methods. Through the lenses of time, cost, and quality, the project management case study illustrates how fuzzy logic effectively evaluates …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 6–12 Read article
-
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
-
Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
-
Modeling and Simulation of Autonomous Vehicle Management System Using Fuzzy Theory
Abstract: ABSTRACT Fuzzy techniques have demonstrated a surge in the practical applications of fuzzy set theory. This paper presents the speed control mechanism that solves the problem intelligently by learning, adaptation and incorporating human knowledge. The proposed speed controller is used to manage the speed of the trains while at the same time managing the uncertainty in the condition of railway tracks. To deal with the aforesaid issues of uncertainty a …
Published in Current Trends in Information Technology · Vol. 2, Issue 1, 2012 · pp. 39–47 Read article
-
Health Assessment of Oil Immersed Transformer Using Fuzzy Logic
Abstract: A transformer is an electrical device that transfers energy between two or more circuits through electromagnetic induction. Commonly, transformers are used to increase or decrease the voltages of alternating current in electric power applications. Mineral oil treats heart of the transformer, its functions are to insulate, suppress corona and arcing, and to serve as a coolant. The oil helps cool the transformer. Because it also provides part of the electrical …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 6–16 Read article
-
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
-
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
-
Mode Choice Analysis: Fundamental and Models
Abstract: AbstractTravel behavior plays an important role in transportation planning. Mode choice has direct impact on the policy making decision. It is behavioral and complex in nature. The objective of this study is to carryout detailed review on various modeling methods of mode choice analysis. The factors that affect the traveler’s mode choice decision have been discussed. The methods of data collection have been briefly discussed. Further the paper highlights on …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 7–13 Read article
-
Designing an Educational Mentoring Model in Line with the Professional Development of Female Primary School Teachers with a Fuzzy Logic Approach
Abstract: The teacher is one of the most important elements known to have a close relationship with students and develop their various talents. If a teacher steps into the education scene with a new, creative and well-equipped attitude, he will naturally deliver capable, creative and new-thinking students to face life wisely and solve the problems of the human world. Therefore, the main goal of this research is to design an educational …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 35–50 Read article
-
Detecting Winding Movement by Fuzzy Logic for Frequency Response of Power Transformer
Abstract: Power transformers are basically one of the most efficient devices that are used in Power Plant or in any substation. Its maintenance is bit some tedious but has to be done to diagnose any severe fault that may damage the transformer. Sweep Frequency Response Analysis (SFRA) is used to detect any winding or core deformation in transformer that would arise during transportation, due to severe short circuits or due to …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 25–34 Read article
-
Study of Global Solar Radiation Estimation based on Artificial Neural Networks Techniques
Abstract: AbstractSolar Radiation data received by earth in the form of x-rays, UV-rays, infrared rays is a prominent and useful data as it gives the information about the amount of energy received from sun at the earth. Artificial Neural Network (ANN) is brain inspired technology which learns and performs in a way similar to the way our human brain performs. Sun’s energy is of utmost importance and is freely available in …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 1, 2020 · pp. 26–31 Read article