Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM by Wenshuai Wu, Zeshui Xu, Gang Kou, Yong Shi

“…The proposed model can generate a list of algorithm priorities to produce an optimal ranking scheme, which can satisfy the decision preferences of all the participants. …”
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How infants' reaches reveal principles of sensorimotor decision making by Evelina Dineva, Gregor Schöner

“…A conditional probabilities analysis accounts quantitatively how motor decisions depend on the history of reaching. The results provide evidence for the interdependence among subsequent reaching decisions that is explained by the model, showing that by amplifying small differences in activation and affecting learning, decisions have consequences beyond the individual behavioural act.…”
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Analysing how AI-powered chatbots influence destination decisions. by Miguel Orden-Mejía, Mauricio Carvache-Franco, Assumpció Huertas, Orly Carvache-Franco, Wilmer Carvache-Franco

“…This study aims to explore the role of destination chatbots as innovative tools in travel planning, focusing on their ability to enhance user experiences and influence decision-making processes. Based on the Technology Acceptance Model, Enterprise Content Management, and Information Systems Security models, the study examines the psychological, emotional, and technological factors that drive user satisfaction, continued use, and intention to visit a destination. …”
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Evolutionary Game Research on Stakeholder Decision-Making in Preprint Platform by LI Huimiao, NIU Xiaohong, MA Zhuo, GUO Mohan

“…Vensim PLE software was used to simulate and analyze the the SD model, focusing on the influence of mixed strategies and external sensitivity variables on stakeholders' decision behavior. …”
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Decision of Lead-Time Compression and Stable Operation of Supply Chain by Songtao Zhang, Shuangshuang Li, Siqi Zhang, Min Zhang

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Human-alignment influences the utility of AI-assisted decision making by Nina L. Corvelo Benz, Manuel Gomez Rodriguez

“…Abstract Whenever an AI model is used to predict a relevant (binary) outcome in AI-assisted decision making, it is widely agreed that, together with each prediction, the model should provide an AI confidence value. …”
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Decision criterion dynamics in animals performing an auditory detection task. by Robert W Mill, Ana Alves-Pinto, Christian J Sumner

“…Here a series of experiments was conducted, and a computational model applied, to determine how the decision bias of the ferret in an auditory signal detection task tracks changes in the stimulus level. …”
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Artificial intelligence in clinical decision support and the prediction of adverse events by S. P. Oei, T. H. G. F. Bakkes, M. Mischi, R. A. Bouwman, R. A. Bouwman, R. J. G. van Sloun, S. Turco

“…This review focuses on integrating artificial intelligence (AI) into healthcare, particularly for predicting adverse events, which holds potential in clinical decision support (CDS) but also presents significant challenges. …”
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Optimization and Decision-Making for a Service Contract on Machine Maintenance by Zeyu Luo, Zhixin Yang, Jinbiao Wu, Zhaotong Lian

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Step-by-step causal analysis of EHRs to ground decision-making. by Matthieu Doutreligne, Tristan Struja, Judith Abecassis, Claire Morgand, Leo Anthony Celi, Gaël Varoquaux

“…Without causal thinking, machine learning is not enough for optimal clinical decision on an individual patient level. Our step-by-step analytic framework helps avoiding many pitfalls of applying machine learning to EHR data, building models that avoid shortcuts and extract the best decision-making evidence.…”
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The Effect of Partially Relevant Information on Inferential Localisation in Decision Dichotomies by Ceyhun Aksoy

“…A model was proposed for the utilisation of partially-relevant information in localising an inferential unit whose eigenvector selects a decision alternative in a dichotomy. …”
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Sequential statistical decision making in problems of data flows analysis by A. Y. Kharin

“…For their solution it is proposed to use sequential statistical decision rules. The rules are constructed for three models of observation flows: sequence of independent homogeneous observations; sequence of observations forming a time series with a trend; sequence of dependent observations forming a homogeneous Markov chain. …”
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Freedom from infection: enhancing decision-making for malaria elimination by Chris Drakeley, Dyah A S Lesmanawati, Riris Andono Ahmad, Lindsey Wu, Isabel Byrne, Henry Surendra, Luca Nelli, Risalia Reni Arisanti, Iqbal R F Elyazar, Elin Dumont, Jason Matthiopoulos, Gillian Stresman

“…Our findings emphasise the urgent need to reassess existing methods to accurately confirm malaria elimination, and the importance of using comprehensive modelling techniques to continually monitor and maintain the effectiveness of current surveillance systems, enabling decisions grounded in quantitative evidence.…”
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Applications of machine learning in decision analysis for dose management for dofetilide. by Andrew E Levy, Minakshi Biswas, Rachel Weber, Khaldoun Tarakji, Mina Chung, Peter A Noseworthy, Christopher Newton-Cheh, Michael A Rosenberg

“…These 8 clusters were then used to define patient states in a tabular reinforcement learning model trained on 80% of dosing decisions. Testing of this model on the remaining 20% of dosing decisions revealed good accuracy of the reinforcement learning model, with only 16/410 (3.9%) instances of disagreement.…”
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Aggregating multiple test results to improve medical decision-making. by Lucas Böttcher, Maria R D'Orsogna, Tom Chou

“…In this work, we develop a statistical model to study how medical decision-making can be improved by aggregating results from repeated diagnostic and screening tests. …”
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Fostering effective hybrid human-LLM reasoning and decision making by Andrea Passerini, Aryo Gema, Pasquale Minervini, Burcu Sayin, Katya Tentori

“…The impressive performance of modern Large Language Models (LLMs) across a wide range of tasks, along with their often non-trivial errors, has garnered unprecedented attention regarding the potential of AI and its impact on everyday life. …”
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How mood-related physiological states bias economic decisions by Roeland Heerema, Mathias Pessiglione

“…Abstract When making decisions, humans are susceptible to all sorts of biases, relative to rational norms. …”
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SUPPORT OF DECISION-MAKINGFOR THE PROCEDURE OFSELECTION OF THE PERSONNALFOR THE TRAINING ANDDEVELOPMENT by Yaroslav E. Prokushev

“…The article is devoted to a problem of support of decision-making at selection in the organization of candidates for professional development passing. …”
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Linear Decision Fusion under the Control of Constrained PSO for WSNs by Sisi Jiang, Zhiwen Zhao, Sheng Mou, Zushun Wu, Yi Luo

“…It is obvious that the decision-making capability of each node is different owing to the dissimilar signal noise ratios and some other factors, so it is easy to understand that a specific sensor contribution to the global decision should be constrained by this sensor decision-making capability, and, based on this idea, we establish a novel linear decision fusion model for WSNs. …”
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Mind Theory and the Role of Financial Decision and Process Role of Optogenetics by Ana Njegovanović

“…The purpose of this paper is to analyze the interaction of financial decision-making processes with the key principles of the mental state model (theory of mind) and define the role of optogenetics. …”
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