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20 results for “Decision Matrix”
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Research ArticleOpen accessPhrase in the titleA New Hybrid AHP-TOPSIS Method for Ranking Human Capital Indicators by Normalized Decision MatrixAbdul Kadar Muhammad Masum, A.N.M. Rezaul Karim, Faisal Bin Al Abid et al.Human Capital or HC plays a significant role in the field of economic growth. Advancement on human capital and knowledge-based economy are of core importance for developing countries. Active representatives of capital accumulation are the people and utilizing natural resources for contributing to the socio-economic growth of the country. Evaluation of HC helps organizations to concern about their present position … …Journal of Computer Science, Vol. 15, Issue 12 · 10 Dec 2019 · 8,134 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMinimization of Multiple-Valued Decision Diagrams Based on Matrix ComputationOmid Kavehie, Keivan Navi, Ebrahim Afjei, Hamid KhorsandThis paper proposes a new algorithm to simplify the multiple valued logic (MVL) decision diagrams. This algorithm is based on a new level coupling rule. By changing the designer’s perspective towards the design, this rule can make further simplification possible. In most of state of the art designs, the decision diagram plays a serious role in the implementation of the … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 6,930 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 abstractOptimized Feature Selection for Kidney Ultrasound Image Classification Using Binary Coati Weighted Mean Vector AlgorithmFizhan Kausar, Ramamurthy B.The analysis of medical images presents many challenges, especially when making precise diagnoses. In pediatric Chronic Kidney Disease (CKD), early identification is critical because of its gradual progression to significant kidney failure. This study proposes a diagnostic framework for pediatric ultrasound image classification that incorporated machine learning and advanced feature selection methods. This approach is divided into four stages: Preprocessing, … …Journal of Computer Science, Vol. 21, Issue 12 · 22 Jan 2026 · 1,563 accessesView PDFCite
Research ArticleOpen accessIn the abstractNonnegative Matrix Factorization Features Extraction and Ensemble Methods Classifier for ECG Image ClassificationHussain K. Ibrahim, Shawkat K. Guirguis, Hend A. ElsayedThis study is a novel proposed classification system for ECG image classification. This proposed system uses nonnegative matrix factorization for feature extraction and ensemble methods for classification, and the results are compared with the features extracted by the principal component analysis, kernel principal component analysis, and independent component analysis. Although algorithms find image classification challenging, humans typically find it easy. … …Journal of Computer Science, Vol. 21, Issue 4 · 15 Mar 2025 · 4,863 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractMMP-9 is a Potential Prognostic Marker of Left Ventricular Remodeling in Patients with Coronary Artery DiseaseMikhail Aleksandrovich Popov, Anastasia Vladimirovna Poznyak, Dmitry Valerievich Shumakov et al.Matrix Metalloproteinase-9 (MMP-9) emerges as a promising prognostic marker for assessing left ventricular remodeling in patients with coronary artery disease, particularly in the context of Ischemic Heart Disease (IHD) complicated by left ventricular aneurysm. In this study, we conducted two parallel investigations to explore the prognostic significance of MMP-9 in patients with multivessel coronary artery disease undergoing left ventricular reconstruction … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 11 Jul 2024 · 4,310 accessesView PDFCite
Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing the Deployment of the Overall Maturity Improvement Plan for Information Systems Risk ManagementFatima Ezzahra Ettahiri, Mina El Maallam, Hicham Bensaid, Mahmoud NassarMaturity models contribute considerably to the continuous improvement of the various business processes. However, the most important challenge for these tools after assessing maturity is how to define effective and efficient improvement plans especially in the case of an organization having multiple Information Systems (IS). This study presents an algorithm for optimizing the deployment of the overall maturity improvement plan … …Journal of Computer Science, Vol. 18, Issue 3 · 20 Mar 2022 · 6,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Study of Efficiency Evaluation with Dynamic Strategy Trajectory Based on DEA Algorithm and BCG Model: A Case Study of Securities IndustryCheng-Shian Lin, Chun-Yueh LinThe U.S. Subprime Mortgage Crisis in 2008 led many financial institutions, including those in the securities industry, to the verge of bankruptcy. As the securities industry has a pivotal position in financial markets, this study aims to use Data Envelopment Analysis (DEA) to discuss the efficiency of the securities industry after the Financial Tsunami. In addition, this paper integrates the … …Journal of Social Sciences, Vol. 14, Issue 1 · 4 Apr 2018 · 8,166 accessesView PDFCite