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70 results for “Fuzzy logic method”
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Research ArticleOpen accessPhrase in the titleDesign Maximum Power Point Tracking (MPPT) on Photovoltaic Panels using Fuzzy Logic MethodAhmad Faizal, Sutoyo, Mulyono et al.Solar energy is a clean energy, renewable, and available for the long term. The tool used to convert the energy generated from the intensity of sunlight into electricity is photovoltaic panels. However, due to the high cost and low efficiency, the use of the energy is still kind small compared to other types of energy sources. Thus, the need for … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 10 Aug 2016 · 8,498 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Multistage Fuzzy Logic-Based Decision Support Model to Determine the Salary of New EmployeesGregoryus Imannuel Perdana, Ditdit Nugeraha UtamaSalary determination for prospective new employees is critical in determining the level of employee satisfaction that can motivate people. The goal of this research is to develop a decision support model to determine salaries for prospective new employees by combining three methods: Multistage fuzzy logic, and conventional and simple mathematical models. Fuzzy logic is used to calculate fuzzy parameters, while … …Journal of Computer Science, Vol. 19, Issue 7 · 7 Jun 2023 · 5,275 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWeight of Evidence Allocates Mineral Depositional ZonesAbdullah A. Bokhari, Guang Dao HU, Rani FouadProblem statement: Yunnan province in general and Pulang area in particular is geological rich area which prevents field study in multi locations due to high risk outcrop. Approach: New technology such as Geographic Information System (GIS) and an ArcView extension module Arcweight of evidence (WofE) became very handy to provide safety for researchers and allow organization to control their budget. … …American Journal of Environmental Sciences, Vol. 6, Issue 6 · 31 Dec 2010 · 6,981 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModification Approach of Fuzzy Logic Model for Predicting of Cutting Force When Machining Nickel Based Hastelloy C-276Basim A. Khidhir, Bashir Mohamed, Mahmoud A.A. YounisProblem statement: Most Nickel based Hastelloy C-276 is a difficult-to-machine material because of its low thermal diffusive property and high strength at high temperature. Machinability consideration of nickel based Hastelloy C-276 in turning operations has been carried out using ceramic inserts under dry conditions. Approach: This study described a modification approach applied to a fuzzy logic based model for predicting … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 8,456 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating the Green Suppliers of the Printed Circuit Board Factories Base on the Fuzzy Analytic Hierarchy Process and Vlsekriterijumska Optimizacija I Kompromisno ResenjeJun-Yuan Kuo, Ben-Chang Shia, Yun-Chin Chen, Jou-Ying HoProblem statement: The “Energy Policy for Europe, EPE” and three environmental directives, proposed by the European Union (EU) in 2007, are stricter than those self-restrained by the enterprises. For this reason, the enterprises have to shortly improve their products for meeting with the strict requests setup by the EU. Consequently, it becomes even more important that the manufacturers evaluate the … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 7,878 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSynchronization of Chaos Systems Using Fuzzy LogicMohammad Ababneh, Issa Etier, Mahmoud Smadi, Jasim GhaebProblem statement: This study presented a new and systematic method to robustly synchronize uncertain chaos systems. It was derived based on the observer approach for synchronization, where error dynamics was made asymptotically stable around the zero to accomplish synchronization. Approach: This method viewed the synchronization problem as a control problem in order to make use of the literature available in … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,642 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean ShiftLNC. Prakash K., Palamakula Ramesh Babu, Shaik Thaseentaj et al.Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or high-dimensional data. This study introduces a fuzzy-based ensemble approach that integrates the complementary strengths of K-Means and Mean Shift clustering, followed by fuzzy membership assignment for data points that remain ambiguous. The inclusion of … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,257 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things Based COVID-19 Patient in Self-Isolation Monitoring SystemBagaskara Akbar Fadhlillah, Ditdit Nugeraha UtamaSelf-isolation has become a critical measure for managing symptomatic or asymptomatic COVID-19 patients, particularly when healthcare facilities are overwhelmed. This study explores a monitoring system based on commercially available Wear OS smartwatches designed to track patient vital signs, specifically oxygen saturation (SpO₂), heart rate, and location, and generate alerts during atypical events. The research has two primary objectives, first, to … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal 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
Review ArticleOpen accessIn the abstractThe Popular Fuzzy-TOPSIS as the Main Method for Decision Model: An Object-Driven Model for Bibliometric-Based Literature ReviewDitdit Nugeraha UtamaFuzzy logic serves as a computational modeling method, particularly prominent in the research domain of decision models. To assess the prevalent trends in the utilization of fuzzy logic in the research landscape of decision models and its common combinations with other methods, a conceptual model for article review was developed. This study involved three simple stages: Bibliometric analysis, article review … …Journal of Computer Science, Vol. 20, Issue 11 · 11 Sep 2024 · 4,811 accessesView PDFCite