Modelling and Analyzing the Potential Controls for Neospora caninum Infection in Dairy Cattle Using an Epidemic Approach by Yue Liu, Ioannis Magouras, Wing-Cheong Lo

“…Our presented study provides guidance for decision-making on N. caninum infected farm management.…”
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Evaluation Model of Enterprise Lean Management Effect Based on Data Mining by Rui Chang

“…Finally, on the basis of fully considering the characteristics of management services, we build a comprehensive evaluation index system for management service providers in terms of service capabilities, service quality, informatization capabilities, and cooperation risks and comprehensively consider the uncertain factors in the decision-making process. The experimental results show that the proposed interval data mining solution method based on the degree of possibility can realize the ranking of management service providers by combining the subjective wishes of decision-makers with the objective evaluation of data mining.…”
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TXtreme: transformer-based extreme value prediction framework for time series forecasting by Hemant Yadav, Amit Thakkar

“…The proposed framework enhances TSF capabilities and ensures better generalization ability in extreme event forecasting, potentially leading to improved decision-making in critical applications.…”
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Power Usage Monitoring Simulator for Estimating Usage Tariffs and Carbon Emission Levels at STO Bogor Based on IoT by Nurwijayanti Kusumaningrum, Rizky Syafdi

“…It also facilitates data recording, accelerates decision-making, and improves electricity management with high accuracy, with a margin of error of 0.8% for power calculations and 0.5% for total power calculations. …”
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Sistem Rekomendasi Profesi Berdasarkan Dimensi Big Five Personality Menggunakan Fuzzy Inference System Tsukamoto by Farhanna Mar'i, Wayan Firdaus Mahmudy, Cleoputri Yusainy

“…Abstract Recommendation systems can be used as a tool for decision making. In a company, a professional recommendation system can be used to place an employee in the right position. …”
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Performance of a Leaf-Galling Phylloxera (Daktulosphaira vitifoliae) on Roots of Diverse Vitis spp. Rootstocks in North East Victoria, Australia by C. W. Clarke, K. S. Powell, S. Norng, B. M. Carmody, M. Walpole, J. P. Cunningham

“…These findings are fundamental for decision-making in phylloxera risk assessment and rootstock selection. …”
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Meta analysis of business valuation solutions – are AI based methods better? by Aljaž Herman, Damijan Mumel, Timotej Jagrič

“…Practical implications – the findings suggest that incorporating advanced methodologies can improve business valuations, leading to better decision-making and a deeper understanding of market dynamics and intrinsic value. …”
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Restricted and extended plus operations for soft sets by Aslıhan Sezgin, Fitnat Aybek, Nurcan Güngör

“…Since the primary notion of the theory is the operations of soft sets as they serve not only the decision-making processes as accurately as possible but also the foundation for various applications, including cryptology, this theoretical study is of great importance both theoretically and practically.…”
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Bi-Level Game Strategy for Virtual Power Plants Based on an Improved Reinforcement Learning Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

“…Finally, case analyses illustrate that the proposed method effectively accomplishes multi-objective optimization for various decision-making stakeholders, including VPP and system operators, while significantly reducing curtailment costs associated with the extensive integration of distributed renewable energy. …”
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Intelligent Acting Digital Twins (IADT) by Ahcene Bounceur, Mostefa Kara

“…The main contribution of the IADT lies in its ability to bridge the gap between virtual and physical systems, allowing for real-time decision-making and control in complex environments. For example, in a scenario involving a drone intercepting a virtual aircraft, the IADT functions as the central control unit, where real-time data and predictive models are used to autonomously guide the physical system. …”
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Evaluating risk factors in automotive supply chains: A hybrid fuzzy AHP-TOPSIS approach with extended PESTLE framework by Ishansh Gupta, Seyed Taha Raeisi, Sergio Correa, Hendro Wicaksono

“…The primary research question focuses on identifying and prioritizing ERFs that pose the greatest threat to operational performance. A hybrid decision-making framework integrating Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is employed. …”
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The Role of Environmental and Social Innovations in the Cost Leadership Strategy, Value Creation, and Business Performance: A Comparative Analysis of SMEs and Large Manufacturing C... by Ahmed Abubakar, Noura Said Al. Jahwari, Adil Hassan Bakheet

“…It encourages sustainable practices that benefit society and the environment while boosting performance and guiding strategic decision-making. The novelty of this study is the comparative analysis of SMEs and large companies that provide empirical evidence of the intricate connection between environmental and social innovations, cost leadership, value creation, and business performance.…”
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C-SHAP: A Hybrid Method for Fast and Efficient Interpretability by Golshid Ranjbaran, Diego Reforgiato Recupero, Chanchal K. Roy, Kevin A. Schneider

“…Such advancements in interpretability and efficiency may hold value for enhancing decision-making within software-intensive systems, aligning with evolving engineering approaches.…”
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BEHAVIOURAL CHARACTERISTICS OF OVERPARENTED CHILDREN AND THEIR PARENTS by Lijana Navickienė, Ilona Kupčikienė

“…The study results revealed that overparenting can negatively affect a child’s development, leading to dependence, poor decision-making skills, anxiety, reduced academic performance, and lack of resilience. …”
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The Self-Perception and Usage of Medical Apps amongst Medical Students in the United States: A Cross-Sectional Survey by Cara Quant, Lisa Altieri, Juan Torres, Noah Craft

“…Mobile medical software applications (apps) are used for clinical decision-making at the point of care. Objectives. To determine (1) the usage, reliability, and popularity of mobile medical apps and (2) medical students’ perceptions of app usage effect on the quality of patient-provider interaction in healthcare settings. …”
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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

“…Additionally, the sluggish adoption of modern machine learning (ML) technologies in the healthcare industries might be due to their misunderstanding of the systems’ decision making procedures.  This study purports to fill that gap by looking at various machine learning (ML) algorithms and applying them on the PIMA Indians Diabetes Dataset provided by the National Health Institute of Diabetes and Digestive and Kidney Diseases with the aim of improving the validity of diabetes prediction and diagnosis. …”
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The impact of competition for picking wild edible mushrooms and the opportunity cost for rural communities: the case of Castile and León (Spain) by Pablo de Frutos Madrazo, Joaquín Latorre Minguell, Pedro Antonio Martín-Cervantes, Fernando Martínez Peña

“…The chosen study area is the autonomous community of Castile and León, a Spanish region with an important and long-running mycological tradition. Using the decision-making method between individuals’ leisure time and work time, the authors test the corresponding hypotheses. …”
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Meta-analysis of the effectiveness of teaching philosophy to children on students' critical thinking by Leila Mirzaei, Zahra Golizade

“…Abstract Critical thinking is a thought process that is based on conclusions, decision-making and drawing, related data including analysis, explanation, hypothesis, reasoning and development of thinking. …”
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Probabilistic assessment of passive earth pressures considering spatial variability of soil parameters and design factors by Jim Shiau, Tan Nguyen, Thinh Pham-Tran-Hung, Jun Sugawara

“…These findings provide practical tools for design engineers, supporting better decision-making and increasing confidence in design outcomes.…”
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Promoting Agency Among Upper Elementary School Teachers and Students with an Artificial Intelligence Machine Learning System to Score Performance-Based Science Assessments by Fatima Elvira Terrazas-Arellanes, Lisa Strycker, Giani Gabriel Alvez, Bailey Miller, Kathryn Vargas

“…It summarizes key findings from the study, discusses findings in the broader context of fostering agency through digital technology, and offers insights into how artificial intelligence technology can be harnessed to support independent action and decision-making by teachers and students.…”
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