Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

240 results for “decision analysis”
Set a search alert
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
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Preference Selection Index and TOPSIS in Product Aspect Extraction and RankingSaif Addeen Ahmad Alrababah, Nawaf Omara AlsrehinDecision-making methodologies can differentiate between several types of criterion weights. The subjective weights of decision-makers are prone to be influenced by various factors, including their level of knowledge, experience and competency. This may result in the wrong evaluation of the criteria due to the inherent ambiguity of human judgments, leading to unavoidable assessment errors. Beyond that, while assessing the decision … …Journal of Computer Science, Vol. 20, Issue 7 · 24 May 2024 · 4,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasuring Customers’ Satisfaction Using Sentiment Analysis: Model and ToolAhmed Alqurafi, Tawfeeq AlsanoosyCustomer reviews are a valuable data resource for business owners and companies. Customers frequently write reviews on many platforms, such as eBay or Amazon. These reviews show, for instance, to what extent customers are satisfied with a service or a product. Therefore, these reviews can be used by companies and business owners to improve their services or products. However, numerous … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Student Mental Health Dataset Using Mining TechniquesYemima Monica Geasela, Devi Yurisca Bernanda, Johanes Fernandes Andry et al.This study utilizes a decision tree model in RapidMiner to analyze a dataset from Kaggle, comprising 200 student records. Among these, 70 students reported mental health issues, while 130 did not. Strikingly, a significant majority of 58 out of the 70 students with mental health concerns do not seek assistance from professionals. This study underscores the pressing issue of underutilization … …Journal of Computer Science, Vol. 20, Issue 1 · 22 Dec 2023 · 6,963 accessesView PDFCite
Review ArticleOpen accessIn the abstractCrime Prediction Using Machine Learning: A Comparative AnalysisAbdulrahman Alsubayhin, Muhammad Ramzan, Bander AlzahraniIn the past few years, Machine Learning (ML) methods have acquired extensive attention from researchers and even criminology practitioners for their potential in crime prediction and crime forecast. To date, many research studies have already been performed on crime prediction using machine learning techniques. Some common methods that have been used include KNNs, Decision trees, Naïve Bayes, and random forest, … …Journal of Computer Science, Vol. 19, Issue 9 · 29 Aug 2023 · 8,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractPropose a System of Collecting and Analyzing Casual Labor Data in Libya Based on Distributed Systems and Weka VisualizationMagda Shuayb, Ashraf Fadiel, Taher Abu-LebdehThe aim of this research is to propose a system for collecting and analyzing casual labor data in Libya, leveraging distributed systems and the Weka visualization tool. The current labor market in Libya relies heavily on casual labor, which poses challenges in terms of data collection and analysis due to its decentralized nature. The proposed system aims to address these … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 4 · 8 Jan 2024 · 4,885 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 abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeta Analysis of Growth Performance of Broilers in Response to Dietary Cassava Leaf Meal InterventionChristian Anayo Mbajiorgu, Ifeanyi Princewill OgbuewuThe use of Cassava Leaf Meal (CLM) in broiler diets has gained attention due to its high crude protein content (24-35%) and other valuable nutrients. Therefore, the objective of this meta-analysis was to assess the impact of diets with and without CLM on broiler growth performance. Search performed on four bibliographic databases produced 584 articles of which 11 were used … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 3 · 30 Sep 2026 · 578 accessesView PDFCite