Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models by Aixiang Yang

“…Traditional methods often lack accuracy, speed, and flexibility in forecasting and decision-making. This study proposes a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model to enhance financial data prediction and decision efficiency. …”
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Clinical Decision Support for Patient Cases with Asymptomatic Carotid Artery Stenosis Using AI Models and Electronic Medical Records by Mackenzie Madison, Xiao Luo, Jackson Silvey, Robert Brenner, Kartik Gannamaneni, Alan P. Sawchuk

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A Probabilistic Linguistic Large-Group Emergency Decision-Making Method Based on the Louvain Algorithm and Group Pressure Model by Zhiying Wang, Hanjie Liu, Ruohan Ma

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Representing a Model Using Data Mining Approach for Maximizing Profit with Considering Product Assortment and Space Allocation Decisions by Manoochehr Ansari, Ali Heidari, Ali Setareh Gooran Abad

“…Thus, we represented a model for product assortment and space allocation. …”
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A Developed Mathematical Model for Designing a Multilevel Sustainable Supply Chain Network Taking into Account Environmental Decisions by Mehrab Paydarfard, Roya Pirzadeh, Ali Ahmadi, Masoud Zohrabi, Farkhondeh Mortaz Hejri, Malek Hasan

“…In this research, a novel mathematical model for sustainable supply chain network design is proposed. …”
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A Relationship Model between Top Management Team Cognitive Heterogeneity and Strategic Decision Quality and Its Implications for Sustainability by Qiannan Wang, Yuhui Ge, Cuihua Hu

“…To achieve sustainable development, a top management team (TMT) and the quality of its strategic decisions on sustainability are critical. This paper builds a relationship model between top management team (TMT) cognitive heterogeneity and the quality of strategic decisions. …”
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Projection Group Decision-making Model of Water Conservancy Project Emergency Plans Based on Interval Intuitionistic Fuzzy Information by CAO Xiongfeng, XIE Wenjing, FENG Jiwei

“…To deal with the group decision-making of emergency plans more accurately and efficiently,this paper proposes a group decision-making model of emergency plans based on interval intuitionistic fuzzy information and projection method,since the decision information with zero value in the aggregation operators will get inaccurate results.First,the interval intuitionistic fuzzy set theory and projection method are utilized to build a multi-objective optimization model to solve the optimal aggregation information of the group.Then,the interval intuitionistic fuzzy entropy is adopted to determine the attribute weight of the index,and the closeness based on the project projection is employed to determine the optimal plan.Finally,the effectiveness of the decision-making model is verified by case analysis.The research results show that the social impact of disasters and the aftermath treatment play an important role in emergency decision-making;the projection decision-making model improves the accuracy and efficiency of the decision-making process and has good applicability and generalization.…”
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A Nonlinear Integer Programming Model for Integrated Location, Inventory, and Routing Decisions in a Closed-Loop Supply Chain by Hao Guo, Congdong Li, Ying Zhang, Chunnan Zhang, Yu Wang

“…First, we formulate this problem as a nonlinear integer programming model to optimize facility location, inventory control, and vehicle routing decisions simultaneously in such a system. …”
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Multi-objective optimization of residential energy-saving design based on fuzzy multi-criteria decision-making behavior model by Suzhen Pei, Gaoxiang Chen, Jian Yao, Yichen Dang

“…This study introduces a multi-objective optimization framework based on a Fuzzy Multi-Criteria Decision-Making (FMCDM) behavioral model. The NSGA-II algorithm is applied to optimize building envelope configurations, targeting three objectives: minimizing per-unit-area energy consumption, reducing energy disparities across residential units, and lowering annual discomfort hours. …”
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Ethical Issues in Building and Maintaining Coalitions -- A 10-Step Decision-Making Model for Choosing between Right and Right by Carolyn S. Wilken, Katey Walker

“…FCS9203/FY664: Ethical Issues in Building and Maintaining Coalitions: A 10-Step Decision-Making Model for Choosing between Right and Right (ufl.edu) …”
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Improving Teaching Quality Assessment in Smart Classrooms for English Majors: An Integrated Double-Valued Neutrosophic Decision-Making Model by Lu Luo, Cong Wang

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Assessing Pedestrian Road Crossing Behavior and Risks Using Multicriteria Decision-Making Models: Implications for Sustainable and Resilient Cities by Md. Abdul Fattah, Md. Mahedi Hasan, Md. Mehedi Hasan, Tajkia Jahan Rakhi, Mahin Rahman, Fariha Mustafa, Syed Riad Morshed

“…This study employs analytical hierarchy process (AHP), technique for order preference by similarity to ideal solution (TOPSIS), and simple additive weighting (SAW) models to evaluate pedestrian road crossing behaviors and associated crash risk factors in Khulna City. …”
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Indonesian, Korean, and French Sheet Masks: Three Alternatives in a Hybrid Choice Model of Indonesian Women's Choice Decision by Michelle Ferica, Prawira Fajarindra Belgiawan, Lidia Mayangsari, Nila Armelia Windasari, Nisful Laila, Satria Fadil Persada, Reza Ashari Nasution

“…Women's choice decision has gained lots of attention in the literature, particularly regarding how they evaluate attributes that are similarly important. …”
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A REFERENCE MODEL FOR BUSINESS ANALYTICS-BASED DECISION-MAKING PROCESSES IN RAIL TRANSPORT MANUFACTURING COMPANIES IN SOUTH AFRICA by Genevieve BAKAM, Khumbulani MPOFU, Charles MBOHWA

Subjects: “…reference model…”
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Ethical Issues in Building and Maintaining Coalitions: A 10-Step Decision-Making Model for Choosing between Right and Right by Martie Gillen, Carolyn S. Wilken, Katey Walker

“…Learn about the 10-Step Decision-Making Model to use when making ethical decisions. …”
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Leveraging explainable artificial intelligence with ensemble of deep learning model for dementia prediction to enhance clinical decision support systems by Mohamed Medani, Ghada Moh. Samir Elhessewi, Mohammed Alqahtani, Somia A. Asklany, Sulaiman Alamro, Da’ad Albalawneh, Menwa Alshammeri, Mohammed Assiri

“…Deep learning (DL) and machine learning (ML) are current techniques for detecting and classifying dementia and making decisions without human participation. This study introduces a Leveraging Explainability Artificial Intelligence and Optimization Algorithm for Accurate Dementia Prediction and Classification Model (LXAIOA-ADPCM) technique in medical diagnosis. …”
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Ethical Issues in Building and Maintaining Coalitions -- A 10-Step Decision-Making Model for Choosing between Right and Right by Carolyn S. Wilken, Katey Walker

“…FCS9203/FY664: Ethical Issues in Building and Maintaining Coalitions: A 10-Step Decision-Making Model for Choosing between Right and Right (ufl.edu) …”
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Detection of Incipient Faults in Power Transformers using Fuzzy Logic and Decision Tree Models Based on Dissolved Gas Analysis by Felix Olowolafe, Kehinde Olukunmi Alawode

“…Notably, the Duval Triangle decision tree model attains the highest accuracy among the ten developed models, achieving a 98% accuracy rate when tested with 50 samples with known faults. …”
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Clinical and Imaging Characteristics to Discriminate Between Complicated and Uncomplicated Acute Cholecystitis: A Regression Model and Decision Tree Analysis by Yu Chen, Ning Kuo, Hui-An Lin, Chun-Chieh Chao, Suhwon Lee, Cheng-Han Tsai, Sheng-Feng Lin, Sen-Kuang Hou

“…Logistic regression and decision tree analyses were used to construct predictive models. …”
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Green infrastructure site prioritization to improve urban flood resilience in Monterrey and Brussels using a decision support model by Mina Khodadad, Mohsen Sanei, Ismael Aguilar-Barajas, Leopoldo Eduardo Cárdenas-Barrón, Aldo Iván Ramírez-Orozco, Agatino Rizzo, Ahmed Z. Khan

“…The results showed regions of utmost importance based on the flood resilience index and land availability for GI implementation. The model has the potential to be applied to other urban areas grappling with flood issues, providing guidance to decision-makers in selecting high-priority locations for GI projects. …”
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