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Relevant bibliographies by topics / Modeling decision making

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Academic literature on the topic 'Modeling decision making'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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Journal articles on the topic "Modeling decision making"

1

Mohammadi, Anahita Malek, and Badaruddin Mohamed. "Convention Decision Making Modeling." International Journal of Trade, Economics and Finance 1, no. 1 (2010): 54–56. http://dx.doi.org/10.7763/ijtef.2010.v1.10.

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Sherif, Mona Mahmoud. "Modeling for Decision Making." Journal of Clinical Engineering 45, no. 1 (2020): 77–100. http://dx.doi.org/10.1097/jce.0000000000000346.

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Rothenberg, Lawrence S., and Mitchell S. Sanders. "Modeling Legislator Decision Making." American Politics Research 30, no. 3 (2002): 235–64. http://dx.doi.org/10.1177/1532673x02030003002.

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McShane, Marjorie, Sergei Nirenburg, and Bruce Jarrell. "Modeling decision-making biases." Biologically Inspired Cognitive Architectures 3 (January 2013): 39–50. http://dx.doi.org/10.1016/j.bica.2012.09.001.

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Silbert, Noah H. "Making decisions about modeling decision-making when analyzing speech perception data." Journal of the Acoustical Society of America 140, no. 4 (2016): 3163. http://dx.doi.org/10.1121/1.4969929.

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Krupa, Tadeusz, and Teresa Ostrowska. "Hierarchical Decision-Making Problems – Modeling and Solutions." Foundations of Management 8, no. 1 (2016): 311–24. http://dx.doi.org/10.1515/fman-2016-0024.

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Abstract Article illustrates the state of the work conducted at the Faculty of Management Warsaw University of Technology on the issue of modeling hierarchical decision-making problems in the context of administrative and infrastructural conditions of the various forms of public safety. The aim is to develop a universal methodology of conduct for the management needs of the public administration, whose powers are focused on maintaining the continuity of the critical infrastructure of the State. The key issues covered by the article are: modeling of hierarchical issues and decision-making proce

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Ganicheva, Antonina Valerianovna, and Alexey Valerianovich Ganichev. "Modeling of collective decision-making." Polythematic Online Scientific Journal of Kuban State Agrarian University, no. 174 (2021): 64–69. http://dx.doi.org/10.21515/1990-4665-174-007.

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Ziegel, Eric R. "Modeling in Medical Decision Making." Technometrics 44, no. 4 (2002): 409–10. http://dx.doi.org/10.1198/tech.2002.s99.

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Yager, R. R. "Modeling Prioritized Multicriteria Decision Making." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, no. 6 (2004): 2396–404. http://dx.doi.org/10.1109/tsmcb.2004.837348.

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Волочков, И. В. "Evolutionary modeling in decision making." Экономика и предпринимательство, no. 2(115) (May 6, 2020): 897–901. http://dx.doi.org/10.34925/eip.2020.115.2.181.

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Статья посвящена рассмотрению особенностей использования эволюционного моделирования в процессе принятия решений. Более детальное внимание уделено траблхакингу как прогрессивной методологии решения проблем в различных сферах общественной жизни. Отдельный акцент сделан на формулировке аргументов, систематизации фактов, которые позволяют обосновать значимость траблхакинга для моделирования и эволюции нетехнических систем. The article is devoted to the consideration of the specifics of using evolutionary modeling in decision making. The detailed attention is paid to troublehacking as a progressiv

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Dissertations / Theses on the topic "Modeling decision making"

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Barsnick, Amy Lynn. "Modeling human elements of decision-making." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FBarsnick.pdf.

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Granovskiy, Boris. "Modeling Collective Decision-Making in Animal Groups." Doctoral thesis, Uppsala universitet, Matematiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180972.

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Many animal groups benefit from making decisions collectively. For example, colonies of many ant species are able to select the best possible nest to move into without every ant needing to visit each available nest site. Similarly, honey bee colonies can focus their foraging resources on the best possible food sources in their environment by sharing information with each other. In the same way, groups of human individuals are often able to make better decisions together than each individual group member can on his or her own. This phenomenon is known as "collective intelligence", or "wisdom of

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Pollock, Joshua W. "Modeling Age Differences in Risky Decision Making." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1404746282.

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Yuan, Fan. "Modeling and computational strategies for medical decision making." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54857.

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In this dissertation, we investigate three topics: predictive models for disease diagnosis and patient behavior, optimization for cancer treatment planning, and public health decision making for infectious disease prevention. In the first topic, we propose a multi-stage classification framework that incorporates Particle Swarm Optimization (PSO) for feature selection and discriminant analysis via mixed integer programming (DAMIP) for classification. By utilizing the reserved judgment region, it allows the classifier to delay making decisions on ‘difficult-to-classify’ observations and develop

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Wood, Margaret Ann. "A study of the perception of the impact of modeling on the development of commitment to action in Decision Conferencing." Thesis, Curtin University, 2004. http://hdl.handle.net/20.500.11937/2239.

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Managers are increasingly faced with making complex decisions in turbulent organisational environments. This has led to greater information processing demands. Increasingly organisations try to deal with this in such a way that many of these decisions are now made in a group environment. The increase in group decision making has generated a corresponding intensification in the interest in options available to support such decision making. One such approach is a Group Decision Support System (GDSS) referred to as Decision Conferencing. However, Decision Conferencing rests on the unsupported key

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Tan, Jolene H. [Verfasser]. "Process Modeling in Social Decision Making / Jolene Hui Tan." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1121587909/34.

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Hopkins, Christopher Warren. "Value stream financial modeling for improved production decision making." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66074.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 78-79).<br>Understanding the overall impact of a decision in a manufacturing system can be challenging given the complex production and financial structures in today's companies. While knowing the direct result of a local change may be easy, anticipating the real impact to

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Jarecki, Jana Bianca. "Modeling the decision making mind: Does form follow function?" Doctoral thesis, Humboldt-Universität zu Berlin, 2017. http://dx.doi.org/10.18452/18603.

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Die Verhaltenswissenschaften betrachten menschliche Entscheidungsprozesse aus zwei komplementären Perspektiven: Form und Funktion. Formfragen behandeln wie Denkprozesse ablaufen, Funktionsfragen behandeln, welche Ziele das resultierende Verhalten erfüllt. Die vorliegende Dissertation argumentiert für die Integration von Form und Funktion. Ein Schritt zur Integration von Form und Funktion besteh darin, Prozessmodelle aus der Kognitionspsychologie in die evolutionäre Psychologie und Verhaltensbiologie (welche sich häufig mit Funktionsfragen befassen) einzuführen. Studie 1 untersucht die Eigens

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Baouan, Ali. "statistical modeling for improving decision-making in team sports." Electronic Thesis or Diss., Institut polytechnique de Paris, 2025. http://www.theses.fr/2025IPPAX013.

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Dans cette thèse, nous développons des méthodes statistiques pour l'analyse de données dans les sports collectifs. Nous nous intéressons à la fois aux dynamiques spatio-temporelles des joueurs et à l'aspect financier du jeu. Notre but est de fournir des outils pour améliorer la prise de décision dans le sport, en portant une attention particulière au cas du football. Nos travaux s'articulent autour de quatre questions de recherche.Dans le premier chapitre, nous proposons une nouvelle modélisation des événements ayant lieu dans un match de football, basée sur des processus de Hawkes. Cela a pou

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Smith, Stephanie Marie. "Understanding decision making with process-tracing methods." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1562877539274665.

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Books on the topic "Modeling decision making"

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Uzay, Kaymak, ed. Fuzzy decision making in modeling and control. World Scientific, 2002.

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Xu, Zeshui. Intuitionistic Preference Modeling and Interactive Decision Making. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-28403-8.

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Gevarter, William B. Computer modeling of human decision making: Report. NASA Ames Research Center, 1991.

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Phoon, Kok-Kwang, Takayuki Shuku, and Jianye Ching. Uncertainty, Modeling, and Decision Making in Geotechnics. CRC Press, 2023. http://dx.doi.org/10.1201/9781003333586.

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K, Neogy S., Das A. K, and Bapat R. B, eds. Modeling, computation, and optimization. World Scientific, 2009.

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Tregub, Ilona, and Tat'yana Goroshnikova. A simulation model of decision-making. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1030572.

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A tutorial on the basics of simulation modelling in problems of managerial decision-making, illustrated by numerous practical examples. Contains material contributing to the deepening of theoretical knowledge and practical skills of the student in the application of computer simulation modeling of economic, social and technological systems for the formation, adoption and implementation of managerial decisions. Meets the requirements of Federal state educational standards of higher education of the last generation. Intended for graduate students in the study of disciplines "Mathemat

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Fast, Jonathan C. Multiattribute decision modeling techniques: A comparative analysis. Air Force Human Resources Laboratory, Air Force Systems Command, 1988.

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Forrest, R. N. Notes on search, detection and localization modeling. 3rd ed. Naval Postgraduate School, 1989.

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Kros, John F. Spreadsheet modeling for business decisions. 2nd ed. Kendall Hunt, 2009.

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Bernardino, Adriana. Telecommuting: Modeling the employer's and the employee's decision-making process. Garland Pub., 1996.

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Book chapters on the topic "Modeling decision making"

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Hester, Patrick T., and Kevin MacG Adams. "Complex Systems Modeling." In Systemic Decision Making. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54672-8_5.

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Beroggi, Giampiero E. G. "Sequential Decision Making." In Decision Modeling in Policy Management. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5599-5_8.

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Mithani, Murad A. "Automated Modeling/Decision Making." In Encyclopedia of Big Data. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_17.

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Mithani, Murad A. "Automated Modeling/Decision Making." In Encyclopedia of Big Data. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32001-4_17-1.

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Phan, Kenny. "Decision-Making Tools: Innovation Measurement Framework." In Hierarchical Decision Modeling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-18558-3_15.

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Tran, Thien Anh. "Decision-Making Tools: University Technology Transfer Effectiveness." In Hierarchical Decision Modeling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-18558-3_12.

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Beroggi, Giampiero E. G. "Multi-Actor Decision Making." In Decision Modeling in Policy Management. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5599-5_9.

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Albar, Fatima M., and Dundar F. Kocaoglu. "Decision-Making Tools: Deleting Criteria Using Sensitivity Analysis." In Hierarchical Decision Modeling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-18558-3_14.

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Kimbrough, Steven Orla, and Hoong Chuin Lau. "Multiattribute Utility Modeling." In Business Analytics for Decision Making. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315372426-16.

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Rigatelli, Gianluca, and Marco Zuin. "Computational Modeling for Decision Making." In Congenital Anomalies of Coronary Arteries. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36966-7_17.

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Conference papers on the topic "Modeling decision making"

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Saito, Mario Martinez, Alexey Belianin, Grygory Kopytin, and Marina Ivanova. "Modeling Decision-Making Behavior in a Double Auction Task." In 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN). IEEE, 2024. http://dx.doi.org/10.1109/cnn63506.2024.10705880.

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Gao, Zhenyu, Caiqian Wang, and Guochao Shi. "Intelligent Decision-Making Modeling Method for Power Design Solutions." In 2024 5th International Symposium on New Energy and Electrical Technology (ISNEET). IEEE, 2024. https://doi.org/10.1109/isneet64164.2024.10956003.

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Encheva, Sylvia. "Providing Support for Today's Decision Making Processes-Decision making." In 2015 International Conference on Modeling, Simulation and Applied Mathematics. Atlantis Press, 2015. http://dx.doi.org/10.2991/msam-15.2015.85.

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Davidrajuh, Reggie. "Modeling Ethical Decision-Making." In Tenth International Conference on Computer Modeling and Simulation (uksim 2008). IEEE, 2008. http://dx.doi.org/10.1109/uksim.2008.11.

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McDonald-Madden, Eve, Peter W. J. Baxter, and Hugh P. Possingham. "Robust Conservation Decision-Making." In First International Symposium on Uncertainty Modeling and Analysis and Management (ICVRAM 2011); and Fifth International Symposium on Uncertainty Modeling and Anaylsis (ISUMA). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41170(400)115.

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Dunn, Christopher N., and Robert A. Pietrowsky. "Collaborative Modeling for Decision Making." In World Environmental and Water Resources Congress 2008. American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)522.

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Krozel, Jimmy, David Schleicher, and Darren Dow. "Collaborative Decision Making airspace visualization tool." In Modeling and Simulation Technologies Conference and Exhibit. American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-4030.

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Malafeyev, Oleg, Nadezhda Redinskikh, Irina Zaitseva, Victoria Bondar, Olga Skvortsova, and Alexandra Martynovskaya. "Investing Funds Decision Making." In 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2023. http://dx.doi.org/10.1109/summa60232.2023.10349587.

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Arendt, Jonathan L., Daniel A. McAdams, and Richard J. Malak. "Technology Evolution Modeling and Decision Making Under Uncertainty." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70746.

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Design is an uncertain human activity involving decisions with uncertain outcomes. Sources of uncertainty in product design include uncertainty in modeling methods, market preferences, and performance levels of subsystem technologies, among many others. The performance of a technology evolves over time, typically exhibiting improving performance. As the performance of a technology in the future is uncertain, quantifying the evolution of these technologies poses a challenge in making long-term design decisions. Here, we focus on how to make decisions using formal models of technology evolution.

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Echterhoff, Jessica Maria, Aditya Melkote, Sujen Kancherla, and Julian McAuley. "Avoiding Decision Fatigue with AI-Assisted Decision-Making." In UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization. ACM, 2024. http://dx.doi.org/10.1145/3627043.3659569.

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Reports on the topic "Modeling decision making"

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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts

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Sullivan, William P., and Thomas E. Bartlett. Improving Re-Enlistment through Decision-Making Modeling and Intervention. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada221718.

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Maddox, W. T., and Arthur B. Markman. Modeling the Motivation-Learning Interface in Learning and Decision Making. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531596.

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Lenhart, S. Modeling and Analysis in Support of Decision Making for Technological Investment. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/814390.

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Lv, Chen. Human-like Decision-making and Control for Automated Driving. SAE International, 2022. http://dx.doi.org/10.4271/epr2022005.

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The on-vehicle automation system is primarily designed to replace the human driver during driving to enhance the performance and avoid possible fatalities. However, current implementations in automated vehicles (AVs) generally neglect that human imperfection and preference do not always lead to negative consequences, which prevents achieving optimized vehicle performance and maximized road safety. Human-like Decision-making and Control for Automated Driving will take one step forward to address unsettled technologies in human-like automated driving to break through the limitation for future ve

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Zio, Enrico, and Nicola Pedroni. Uncertainty characterization in risk analysis for decision-making practice. Fondation pour une culture de sécurité industrielle, 2012. http://dx.doi.org/10.57071/155chr.

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This document provides an overview of sources of uncertainty in probabilistic risk analysis. For each phase of the risk analysis process (system modeling, hazard identification, estimation of the probability and consequences of accident sequences, risk evaluation), the authors describe and classify the types of uncertainty that can arise. The document provides: a description of the risk assessment process, as used in hazardous industries such as nuclear power and offshore oil and gas extraction; a classification of sources of uncertainty (both epistemic and aleatory) and a description of techn

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Singleton, Patrick. A Theory of Travel Decision-Making with Applications for Modeling Active Travel Demand. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1493.

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Sotnik, Garry. SOSIEL: A Cognitive, Multi-Agent, and Knowledge-Based Platform for Modeling Boundedly-Rational Decision-Making. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6123.

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Zhang, Lei. Co-Evolution of Transportation and Land Use: Modeling HIstorical Dependencies in Land Use and Decision-Making. Portland State University Library, 2009. http://dx.doi.org/10.15760/trec.96.

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Banerjee, Onil. Environmental Economics for Evidence Based Policy: Vol. 1, No. 1: IEEM: A New Natural Capital-Based Decision Making Platform. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0008313.

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This first edition to the new series entitled "Environmental Economics for Evidence Based Policy" presents the Integrated Economic-Environmental Modeling (IEEM) Platform as a state of the art decision making framework. IEEM is the first forward-looking platform that integrates natural capital accounts and enables us to ask 'what if' questions to estimate how the economy and environment are impacted by public policy and investment alternatives.

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