Research ArticleOpen accessIn the abstractTakagi-Sugeno Fuzzy Gains Scheduled PI Controller for Enhancement of Power System StabilityLokman H. Hassan, M. Moghavvemi, Haider A.F. MohamedProblem statement: Power system oscillations affect system stability and may lead to failure if not properly controlled. Approach: A Takagi-Sugeno Fuzzy Gains Scheduled Proportional and Integral (FGPI) controller was proposed for a Thyristor Controlled Series Capacitor (TCSC)-based stabilizer to enhance the power system stability. Linguistic rules and fuzzy inference mechanism are utilized to tune the controller parameters on-line in different … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Accuracy of Effort Estimation through Fuzzy Set Representation of SizeCh. Satyananda Reddy, KVSVN RajuProblem statement: The precision and reliability of the effort estimation is very important for the competitiveness of software companies. The uncertainty at the input level of the Constructive Cost Model (COCOMO) yields uncertainty at the output, which leads to gross estimation error in the effort estimation. Fuzzy logic-based cost estimation models are more appropriate when vague and imprecise information was … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,085 accessesView PDFCite
Research ArticleOpen accessIn the abstractSupply Chain Performance Evaluation: Trends and ChallengesEzutah U. Olugu, Kuan Y. WongProblem statement: In today’s manufacturing world, globalization policies and rejuvenation have created a more intensive competition amongst manufacturers. On the other hand, manufacturers have turned to the option of adopting innovative technologies, process re-engineering and strategies such as efficient supply chain management to achieve a sustainable competitive advantage. Effective supply chain performance measurement has been identified as a key issue … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 8,464 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Advantages of PID Fuzzy Controllers Over The Conventional TypesAbdullah I. Al-Odienat, Ayman A. Al-LawamaFuzzy logic controllers (FLC's) have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms. A self-organizing fuzzy controller can automatically refine an initial approximate set of fuzzy rules. Application of PI-type fuzzy controller increases the quality factor. In this … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 18,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeedback of the Input Voltage in FDTC Control Using a Three-Level NPC-VSIR. Zaimeddine, E.M. BerkoukA new control structure for sensorless induction machine dedicated to electrical drives using a three-level voltage source inverter VSI-NPC is completely analysed. The amplitude and the rotating velocity of the flux vector could be controlled freely. Both fast torque and optimal switching logic could be achieved; the selection is based on the value of the stator flux and the torque. … …American Journal of Applied Sciences, Vol. 4, Issue 7 · 31 Jul 2007 · 6,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal Time Hybrid Controller Implementation for Switched Reluctance Motor DriveS. Paramasivam, R. ArumugamThis study presents the real time hybrid controller implementation for a Switched Reluctance motor Drive. The developed hybrid control law consists of Proportional Integral (PI) controller at steady state, PI-type fuzzy logic controller (FLC) at transient state and a simple logic controller between steady and transient states to achieve desired performance at various operating conditions under soft chopping operation. The … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 7,240 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,900 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFuzzy Logic-Based Truck Demand Computational ModelAnugrah Mauludin, Ditdit Nugeraha UtamaTrucking is one of the essential aspects linking suppliers and customers in many countries. Services at a trucking service provider will be based on a first-come-first-served basis. When a customer contacts a trucking service provider, there is a possibility that all the truck units owned are in fact being used to serve other customers causing potential delays in their delivery … …Journal of Computer Science, Vol. 19, Issue 9 · 19 Aug 2023 · 5,468 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordWhale Optimized Deep Generative Adversarial Network Based Alzheimer's Stages Detection Using 3D MRI Brain NeuroimagingR. Sampath, M. BaskarAlzheimer's Disease (AD), a common, chronic neurodegenerative condition, is characterized by the loss of neurons and synapses in the cerebral cortex and specific subcortical regions. According to claims from a recent study, AD has a 20% misdiagnosis rate. Therefore, it is essential to create a useful tool to recognize the stages of AD with a lower prediction error rate to … …Journal of Computer Science, Vol. 19, Issue 8 · 4 Aug 2023 · 5,544 accessesView PDFCite