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62 results for “fuzzy decision”
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Research ArticleOpen accessIn the keywordsFast Power Loss Computation and Shunt Capacitor Insertion Using Fuzzy Logic TechniqueWagah F. Mohammad, Nabil Tawalbeh, Kasim M. Al-AubidyFast power loss computation was implemented using supervisory control and data acquisition system (SCADA) with personal computer. Logic Control Array (LCA) and EPROM circuits were used to implement SCADA system to facilitate the required measurements to obtain the daily load profile for residential and commercial customers. LCA, EPROM and PC were used to simplify the electronic circuits, reduce the cost … …American Journal of Applied Sciences, Vol. 4, Issue 1 · 30 Apr 2007 · 7,391 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuzzy Based Energy Management of a Domestic Photovoltaic PanelMaher Chaabene, Mohsen Ben Ammar, Ahmed ElhajjajiThis study introduces a new switching mean giving a real time optimum connection mode of domestic apparatus on either the electrical grid or a photovoltaic panel (PVP) output. A fuzzy algorithm makes the decision which ensures the optimal energy management basing on the PVP generation and apparatus states with respect to energy save criteria. Validation was driven on a 1kW … …American Journal of Applied Sciences, Vol. 4, Issue 2 · 28 Feb 2007 · 7,006 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuzzy Modeling for Multi-Label Text Classification Supported by Classification AlgorithmsBeatriz Wilges, Gustavo Mateus, Silvia Nassar et al.The ever-increasing amount of information on the Web is organized in structured, semi-structured and unstructured data. Text classification systems, capable of handling such different structures, may facilitate the work of important tasks such as indexation and information retrieval in search engines. The objective of this research is to develop a method for the classification of documents into multiple categories with … …Journal of Computer Science, Vol. 12, Issue 7 · 22 Aug 2016 · 7,215 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority RulesRamin Ahmed, Md. Muzahid Khan, Md. Hasibul Haque, Md. Hasibur RahmanThis paper aims at developing a dynamic job shop scheduling by establishing fuzzy rule based system and comparing its effectiveness with the traditional priority rules. In order to understand the priorities of different jobs in a job shop, the paper investigates all the contributing criteria of different parameters. Since the traditional priority rules only emphasis on a single parameter at … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 11 Feb 2016 · 8,365 accessesView PDFCite
Research ArticleOpen accessIn the keywordsResearch on the Decision Model for Self-Production and Outsourcing Choices under Limited Production CapacityYu-Teng Chang, Chih-Yao LoProblem statement: In the face of competitive environments with uncertain demands and a trend toward High-Mix, Low-Volume (HMLV) production, self-production or direct outsourcing has troubled decision-makers of enterprise for a long time. In the previous studies, not much has been written about the topic. Approach: Therefore, this study applies the Analytic Hierarchy Process (AHP) to investigate the topic through either … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 25 May 2011 · 7,141 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: 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 accessIn the abstractAttribute Reduction in Bipolar Intuitionistic Fuzzy Relation SystemWeiyuan Wang, Qian WangBipolar intuitionistic fuzzy relation system (BIFRS) effectively characterize the bipolarity in real-world data by introducing positive and negative membership and non-membership degrees. To address redundancy caused by high-dimensional attributes, this paper proposes an attribute reduction method based on bipolar intuitionistic discernibility matrices. By constructing positive discernibility matrix M+∗ matrix M−∗ and negative discernibility , we systematically identify the minimal attribute … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 16 Jul 2026 · 1,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractNon-Hodgkin Lymphoma Risk Grading Through the Pathological Data by Using the Optimized Convolutional Lymphnet ModelSivaranjini Nagarajan, Gomathi MuthuswamyDiagnosing Non-Hodgkin Lymphoma (NHL) is difficult and often requires specialised training and expertise as well as extensive morphological investigation and, in certain cases, costly immunohistological and genetic techniques. Computational approaches enabling morphological-based decision making are necessary for bridging the existing gaps. Histopathological images can be accurately classified using deep learning approaches, however data on NHL subtyping is limited. However, there … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 4,545 accessesView PDFCite
Research ArticleOpen accessIn the abstractThird-Party Logistic Selection for Logistic Aggregator Company using Multi-Criteria Decision MakingMuhammad Khakim Hidayad, Ditdit Nugeraha UtamaThe customer of AggregatorCompany for Logistics (ACL) faces a problem when creating an order in the aggregatorlogistics platform. They have difficulty making an order as there are a lot ofthird-Party Logistic (3PL) alternatives available but they do not have anyreferences for which 3PL they should select. This study helps the customer tochoose the best 3PL by determining the suitable criteria. … …Journal of Computer Science, Vol. 18, Issue 9 · 9 Sep 2022 · 5,804 accessesView PDFCite