Research ArticleOpen accessIn the keywordsNovel Method of the Combination of Forecasts Based on Rough SetsEslam Faik Ahmed, Wang Jia Yang, Maan Younis AbdullahProblem statement: A study in Analytic Hierarchy Process (AHP) had shown the problem of quantify the qualitative and the side Combined. Approach: So that problems were better resolved. The rough sets theory and AHP was introduced in the study, furthermore, these were united to create a completely new method of combination forecasts. Results: The results of numerical examples were shown … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvergence of GenAI and RPA: A Digital Heaven in Supply Chain Optimization ProcessSaurabh A. Pahune, Zahid Akhtar, Manoj Chandrasekharan et al.One of the most groundbreaking advances in the field of intelligent automation is the merging of Generative Artificial Intelligence (GenAI) and Robotic Process Automation (RPA). This combination unlocks previously unachievable capabilities in automation. RPA (software bots) improves speed and operational efficiency by automating rule-based tasks, Standard Operating Procedures (SOPs), and repetitive workflows. At the same time, it minimizes manual labor … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Feb 2026 · 2,040 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecast and Performance of Wind TurbinesT. Ahilan, S. Arumugham, R. Suja ManimalarProblem statement: Wind energy industry is a nonprofit organization that works hands-on with local and community based wind projects, providing technical support to create an understanding of wind energy opportunities for rural economic benefit. This study provides a detailed vision of the global wind power market and the Indian wind market in particular. It also helps in analyzing and forecasting … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 2 Dec 2011 · 7,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Replenishing Items with Seasonal Intermittent DemandGary Mitchell, Meike NiederhausenProblem statement: There are numerous difficulties associated with replenishing intermittent demand items and these are compounded when the demand distribution(s) vary seasonally. Excess inventories during an “off” season are typical, while shortages frequently occur during the “in” season, especially at the transition points between “seasons”. Approach: Evaluate the extent to which items characterized by non-stationary (seasonal) intermittent demand can be … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 7,537 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUltimate Prediction of Stock Market Price MovementRebwar M. Nabi, Soran Ab. M. Saeed, Habibolah Bin Harron, Hamido FujitaInvestment in the stock market is currently very popular due to its economic gain. Numerous researchers’ and academicians’ work is focused on financial time series prediction due to its data availability and profitability. Therefore, this study presents the design and implementation of a novel binary classification framework to predict stock market trends. The framework is composed of data preprocessing, feature … …Journal of Computer Science, Vol. 15, Issue 12 · 25 Dec 2019 · 8,545 accessesView PDFCite