7 results for “risk programming”

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Research ArticleOpen accessEvery word in the titleOn the Predictability of Risk Box Approach by Genetic Programming Method for Bankruptcy PredictionAlireza Bahiraie, Noor Akma bt Ibrahim, A. K.M. AzharProblem statement: Theoretical based data representation is an important tool for model selection and interpretations in bankruptcy analysis since the numerical representation are much less transparent. Some methodological problems concerning financial ratios such as non-proportionality, non-asymetricity, non-scalicity are solved in this study and we presented a complementary technique for empirical analysis of financial ratios and bankruptcy risk. Approach: This study … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,953 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsOptimizing an E-Waste Reverse Supply Chain Model while Incorporating Risk CostsLinh Thi Truc Doan, Yousef Amer, Sang- Heon Lee, Phan Nguyen Ky PhucThe rapid growth of Electronic Waste (E-waste) in recent years has created serious influences on the environment and society. The highly potential solution to mitigate this issue is the Reverse Supply Chain (RSC) which can reuse and recover E-waste materials. Risks generally derive from a RSC operation such as collection, transportation and treatment risks, but most studies ignore risk effects … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 24 Nov 2017 · 7,981 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsStochastic Optimization for Portfolio Selection Problem with Mean Absolute Negative Deviation MeasureAnton Abdulbasah Kamil, Adli Mustafa, Khlipah IbrahimProblem statement: The most important character within optimization problem is the uncertainty of the future returns. Approach: To handle such problems, we utilized probabilistic methods alongside with optimization techniques. We developed single stage and two stage stochastic programming with recourse. The models were developed for risk adverse investors and the objective of the stochastic programming models is to minimize the … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,950 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsInvestigation the Substitution Capability of Oilseeds in Cropping PatternMahmoud Daneshvar Kakhki, S. Youssefzade, Hamideh Ghodrati AzadiProblem statement: Farm activity is a risky activity special in less developed countries, so all decisions and activities are affected by this phenomenon. Consideration of risk either helps to elimination of deviations in result of model or preparing tools for evolution of some policies that the aim of them is reducing the risk for farmers. Oil seed are the second … …American Journal of Applied Sciences, Vol. 6, Issue 12 · 31 Dec 2009 · 7,182 accessesView PDF Cite

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 · 4,657 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImproving Fund Risk Management by Using New Software Tools TechnologyStephanos Papadamou, George StephanidesThis paper introduces a new MATLAB-based toolbox for Computer Aided mutual fund risk evaluation. In the age of computerized trading, financial services companies and independent investors must quickly investigate fund investment style and market risk. The Fund Risk toolbox is a financial software that includes a set of functions based on value at risk (VaR) and expected tail loss (ETL) … …American Journal of Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2004 · 6,821 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAnalyzing the Effects of Water and Agriculture Policy Strategies: An Iranian experienceReza Moghaddasi, Ali Bakhshi, Mahmood Daneshvar KakhkiProblem statement: Because of growing demand for water resources, increasing cost of supplying water and overdraft of underground waters, economists suggest water pricing policy to improve water allocation efficiency in Iran. While due to political risk, economic and cultural concerns, government tends to reject that advice. This study addressed questions of what policy alternatives to water pricing could be used … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,308 accessesView PDF Cite