How Can Business Analytics Enhance Decision-Making in Oil and Gas Surface Facilities? by Agung Prasetya, Meditya Wasesa, Yos Sunitiyoso

“…Predictive analytics enables proactive maintenance through machine learning, while prescriptive analytics optimizes operations using simulations and multi-objective decision models. Implementation examples demonstrate efficiency gains, including a 28% reduction in separation unit losses, an 18% decrease in compression system energy consumption, and a 64% improvement in methane emissions detection. …”
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Research on Multi-Objective Evolutionary Algorithms Based on Large-Scale Decision Variable Analysis by Jianing Li, Sijia Xu, Jiaming Zheng, Guoqing Jiang, Weichao Ding

“…LaMaOPs involve a large number of decision variables and multiple conflicting objectives that need to be optimized simultaneously. …”
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Supply Chain Decision-Making and Coordination considering Anticipated Regret under Price Discount by Jie Jian, Huipeng Li, Nian Zhang, Jiafu Su

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On the use of kinship and familiarity associated social information in mediating Drosophila melanogaster oviposition decisions. by Emily Rakosy, Sanduni Talagala, Tristan A F Long

“…These results further highlight the potential usefulness of D. melanogaster as a model to understand the evolution of social behaviour in the expression of decision-making.…”
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Preliminary evaluation of mining area sustainability using multi-criteria decision-making methods by Haoxuan Yu, Izni Zahidi, Chow Ming Fai, Dag Øivind Madsen

“…To address this, we have developed an innovative framework for assessing the sustainability of mining areas using five integrated multi-criteria decision-making (MCDM) methods: entropy weight TOPSIS, fuzzy comprehensive evaluation, grey relational analysis, cloud model, and Pythagorean Fuzzy Set TOPSIS (PFS-TOPSIS). …”
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Using fuzzy decision support to create a positive mental health environment for preschoolers by Xinyue Li

“…This study sought to improve toddlers’ behaviour by creating an effective decision-making mechanism. This study uses a fuzzy decision support (FDS) system using fuzzy rules and a degree of membership function to overcome the obstacles. …”
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ResNet-Driven Joint Decision-Making for VVC Optimization via Gradient Search by Fangmei Liu, Jiyuan Wang, Qiuwen Zhang

“…In the first component of the proposed algorithm, we present a rapid CU partitioning technique built upon the ResNet model. This method effectively extracts and learns the distinctive features of CU blocks, enabling it to predict partition structures with high accuracy, thus streamlining the CU decision process. …”
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Enhancing Consumer Decision-Making in Skincare: Implementation of the VIKOR Method for Product Recommendation Systems by Diah Arifah Prastiningtyas, Greta Septy Purwiantono, Febry Eka Purwiantono, Addin Aditya

“…By demonstrating the efficacy of the VIKOR method, this research paves the way for its future application in various industries, offering a replicable and adaptable model for improving decision processes in consumer goods selection across diverse markets. …”
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Applying decision-making capacity criteria in practice: A content analysis of court judgments. by Nuala B Kane, Alex Ruck Keene, Gareth S Owen, Scott Y H Kim

“…<h4>Background/objectives</h4>Many jurisdictions use a functional model of capacity with similar legal criteria, but there is a lack of agreed understanding as to how to apply these criteria in practice. …”
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Incidental mood affects decision under uncertainty: findings from an experiment with Nigerian farmers by Toritseju Begho, Tare Philip Daubry

“…Compared to integral mood, there are few studies investigating whether incidental mood influences farmers’ monetary decisions under uncertainty. This paper applies the Cumulative prospect theory (CPT) model to determine farmers’ attitudes under uncertainty and examines the association with farmers mood, measured by direct elicitation during an experimental session. …”
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Intelligent gear decision method for vehicle automatic transmission system based on data mining by Yong Wang, Jianfeng Zeng, Pengfei Du, Huachao Xu

“…The gear decision logic of automatic transmission directly affects the vehicle's dynamic, fuel economic, and comfort performance. …”
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Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path by Gonçalo Penelas, Luís Barbosa, Arsénio Reis, João Barroso, Tiago Pinto

“…In the field of gaming artificial intelligence, selecting the appropriate machine learning approach is essential for improving decision-making and automation. This paper examines the effectiveness of deep reinforcement learning (DRL) within interactive gaming environments, focusing on complex decision-making tasks. …”
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The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector by Kebashnee Moodley, Lavina Sookhdeo

“…Perceived usefulness had a negative but insignificant impact on purchase decisions, possibly because of unmet expectations or price sensitivity. …”
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MLDSS: Customer-Centric Retail Recommendation via Multi-Layered Decision Support System by Santilata Champati, Bijayini Moahanty, Swadhin Kumar Barisal

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Assessing the capture of sociodemographic information in electronic medical records to inform clinical decision making. by Rawan Abulibdeh, Karen Tu, Debra A Butt, Anthony Train, Noah Crampton, Ervin Sejdić

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Multi-criteria decision-making approach for evaluating the critical determinants of machine tool integrity by Olugbenga Adegbemisola Aderoba, Khumbulani Mpofu, Buliaminu Kareem, Olurotimi Akintunde Dahunsi, Olayinka Oladele Awopetu, Ilesanmi Afolabi Daniyan

“…The Fuzzy DEMATEL established cause-and-effect relationships between determinants, while the ANP technique modelled their interdependencies and prioritized them based on their impact on machine tool integrity. …”
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Neural network method of the decision Of the nonlinear problem of optimum distribution of the non-uniform resource by A. A. Zhuk, V. M. Buloichyk

“…The estimation of efficiency of the decision of a considered problem was carried out at its various values of an indicator of efficiency on the basis of developed imitating model RNN. …”
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DECISION MAKING ANALYSIS OF MAINTENANCE STRATEGY TO RESPOND CHF 6 AND CHF 7 OPERATIONS by Gito Wijaya, Pri Hermawan

“…Value-Focused Thinking (VFT) method was used to identifying and describing values and objectives that are used as the foundation to generating alternatives and attributes for decision making process. Decision making to select the best alternative was conducted using Simple Multi Attribute Rating Technique (SMART) which will evaluate and compare alternatives with multiple attributes involved while each attribute represents a different aspect or criteria that matters in the decision. …”
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Development and evaluation of a clinical nursing decision support system for the prevention of neonatal hypoglycaemia by Qiaoyan Liu, Lulu Sun, Jie Yang, Wei Yin, Songmei Cao

“…Consequently, this study was designed to develop a clinical nursing decision support system for neonatal hypoglycaemia prevention based on the prediction model for neonatal hypoglycaemia risk that was developed in a previous study, and to evaluate its efficacy. …”
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Medical mesocosms and cohort differences in victim decisions in spousal violence in Sub-Saharan Africa by Patricia Elung'ata

“…A two-level hierarchical multinomial logistic regression model analyzed VDSV variation, considering individual, cluster, and household-level confounders with random country effects. …”
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