Relevant bibliographies by topics / Modeling decision making / Dissertations / Theses
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Dissertations / Theses on the topic 'Modeling decision making'

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Published: 28 May 2022
Last updated: 30 July 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Bisantz, Ann M. "Modeling environmental uncertainty to understand and support dynamic decision making." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/25734.

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12

Al-Karaeen, Fawaz. "CHARACTERIZING BATTLEFIELD HUMAN DECISION MAKING WITH VALUE FOCUSED THINKING AND RELIABILITY MODELING." Wright State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1158292180.

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13

Shim, Euysup. "The decision-making modeling for concurrent planning of construction projects." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3140.

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14

Kunde, Dietmar. "Event prediction for modeling mental simulation in naturalistic decision making." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Dec%5FKunde%5FPhD.pdf.

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Thesis (Ph. D. in Modeling, Virtual Environment and Simulation)--Naval Postgraduate School, December 2005.<br>Thesis Advisor(s): Chris Darken. Includes bibliographical references (p. 121-128). Also available online.
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15

Larson, Chad J. "Modeling forest transition pathways for decision making in private forestry." Diss., Columbia, Mo. : University of Missouri-Columbia, 2004. http://hdl.handle.net/10355/4105.

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Thesis (M.S.) University of Missouri-Columbia, 2004.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 30, 2006). Vita. Includes bibliographical references.
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16

Tayfur, Esengul. "Modeling systems for optimal resource allocation, scheduling, and decision making." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1219855622/.

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17

Daltorio, Kathryn A. "Obstacle Navigation Decision-Making: Modeling Insect Behavior for Robot Autonomy." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1365157897.

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18

Findley, Stephen Holt. "Hydrologic modeling as a decision-making tool in wildlife management." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-11242009-020314/.

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19

Hubbard, Shane A. "Modeling geospatial events during flood disasters for response decision-making." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/1973.

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A model that emphasizes possible alternative sequences of events that occur over time is presented in paper 1 (chapter 2) of this dissertation. Representing alternative or branching events captures additional semantics unrealized by linear or non-branching approaches. Two basic elements of branching, divergence and convergence are discussed. From these elements, many complex branching models can be built capturing a perspective of events that take place in the future or have occurred in the past. Th
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20

Tang, Yun. "Hierarchical Generalization Models for Cognitive Decision-making Processes." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1370560139.

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21

Potter, Kevin Whitman. "Perfectionism, Decision-Making, and Post-error Slowing." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1418307845.

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22

Alafifi, Ayman H. "Integrated Systems Modeling to Improve Watershed Habitat Management and Decision Making." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/6970.

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Regulated rivers provide opportunities to improve habitat quality by managing the times, locations, and magnitudes of reservoir releases and diversions across the watershed. To identify these opportunities, managers select priority species and determine when, where, and how to allocate water between competing human and environmental users in the basin. Systems models have been used to recommend allocation of water between species. However, many models consider species’ water needs as constraints on instream flow that is managed to maximize human beneficial uses. Many models also incorporate un
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23

Yao, Mingzhu. "Modeling households' long-term mobility and residential decisions and short-term time use/travel choices :group decision-based approaches." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/655.

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Understanding household long-term decisions concerning residential location/relocation, car ownership and short-term activity travel choices are crucial for land use and transport planning. However, when addressing these issues, multitudes of choice models applying individual or unitary household decision-making mechanisms have dominated in transport studies, ignoring the interactions among household members in consensual decision making in real situations. To promote the investigation of these issues from a group decision-making perspective, this study explores the applicability of various gr
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24

Tari, Mehrdad Heidari. "On optimization modeling of industrial energy systems at plant level : development of the decision-making tool "MIND" /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek777s.pdf.

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25

Wood, Margaret Ann. "A study of the perception of the impact of modeling on the development of commitment to action in Decision Conferencing." Curtin University of Technology, Curtin Business School, 2004. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=15636.

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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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26

Lagerström, Robert. "Enterprise Systems Modifiability Analysis : An Enterprise Architecture Modeling Approach for Decision Making." Doctoral thesis, KTH, Industriella informations- och styrsystem, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12341.

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Contemporary enterprises depend to great extent on software systems. During the past decades the number of systems has been constantly increasing and these systems have become more integrated with one another. This has lead to a growing complexity in managing software systems and their environment. At the same time business environments today need to progress and change rapidly to keep up with evolving markets. As the business processes change, the systems need to be modified in order to continue supporting the processes. The complexity increase and growing demand for rapid change makes the ma
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27

Zinser, Klaus. "Modeling and aiding human decision making in operating and supervising dynamic systems." Thesis, Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/21772.

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28

Lovell, Neal T. "Theater level operations other than war modeling : applications of decision making theory." Thesis, Monterey, California. Naval Postgraduate School, 1994. http://hdl.handle.net/10945/28601.

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Approved for public release; distribution is unlimited<br>This paper presents an automated model for generating courses of action in support of an Operations Other Than War (OOTW) simulation. The model simulates the decision making of a theater level staff in the OOTW humanitarian assistance mission environment. The model uses probabilistic forecasting models and Bayesian techniques to predict what the state of a region in the theater will be some time in the future. Decision tree structures and the forecasting module are used to solve the decision making problem using expected utility. The mo
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29

Romanko, O. "Optimization and mathematical modeling for decision- making in finance and risk management." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13962.

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30

Kemmerer, Kacey Edward. "Tactical decision making under categorical uncertainty with applications to modeling and simulation." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5FKemmerer.pdf.

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Thesis (M.S. in Human Systems Integration)--Naval Postgraduate School, December 2008.<br>Thesis Advisor(s): Shattuck, Lawrence G. "December 2008." Description based on title screen as viewed on January 29, 2009. Includes bibliographical references (p. 95-99). Also available in print.
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31

Najmizadehbaghini, Hossein. "Enhancing the Efficacy of Predictive Analytical Modeling in Operational Management Decision Making." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538693/.

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In this work, we focus on enhancing the efficacy of predictive modeling in operational management decision making in two different settings: Essay 1 focuses on demand forecasting for the companies and the second study utilizes longitudinal data to analyze the illicit drug seizure and overdose deaths in the United States. In Essay 1, we utilize an operational system (newsvendor model) to evaluate the forecast method outcome and provide guidelines for forecast method (the exponential smoothing model) performance assessment and judgmental adjustments. To assess the forecast outcome, we consider
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32

Desai, Nitisha. "Modeling Biases in Value-Based Decisions." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555514474952847.

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33

Montserrat, Adell Jordi. "A contribution to consensus modeling in decision-making by means of linguistic assessments." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/620781.

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Decision-making is an active field of research. Specifically, in recent times, a lot of contributions have been presented on decision-making under linguistic assessments. To tackle this kind of processes, hesitant fuzzy linguistic term sets have been introduced to grasp the uncertainty inherent in human reasoning when expressing preferences. This thesis introduces an extension of the set of hesitant fuzzy linguistic term sets to capture differences between non-compatible assessments. Based on this extension, a distance between linguistic assessments is defined to quantify differences between s
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34

Burgess, Nathan P., and Keith A. Jordan. "Applying and measuring the value of utility modeling in defense acquisition decision making." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/38889.

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Approved for public release; distribution is unlimited.<br>This research project is intended to determine if utility modeling could be used within the Department of Defense acquisition community. The primary effort of this research is to create a linear programming-based utility model that could assist a program manager in making purchase decisions. The final solution, given all available data regarding cost, schedule impacts, unique program constraints, and quality factors will be the optimal allocation of budgetary resources to achieve the best overall value for the end user and taxpayer. Da
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35

Pettit, Elizabeth Jean. "Using Process Tracing and Computational Modeling to Investigate Cognition During Risky Decision Making." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1619098470233094.

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36

Won, Henry Thome. "A system-of-systems modeling methodology for strategic general aviation design decision-making." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26469.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Mavris, Dimitri; Committee Member: Gallman, John; Committee Member: Lewe, Jung-Ho; Committee Member: Schrage, Daniel; Committee Member: Upton, Eric. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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37

Singleton, Patrick Allen. "A Theory of Travel Decision-Making with Applications for Modeling Active Travel Demand." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1494.

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The continuing evolution of urban travel patterns and changing policy goals and priorities requires that transportation researchers and practitioners improve their abilities to plan and forecast the demand for travel. Walking and bicycling - the primary forms of active travel - are generating increasing interest for their potential to reduce automobile use, save governmental and consumer costs, and improve personal and social health outcomes. Yet, current transportation planning tools, namely regional travel demand forecasting models, poorly represent these active travel modes, if at all. More
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38

Rauch, Travis M. "Savage Modeling and Analysis Language (SMAL) metadata for tactical simulations and X3D visualizations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Mar%5FRauch.pdf.

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Thesis (M.S. in Modeling, Virtual Environments, and Simulation (MOVES))--Naval Postgraduate School, March 2006.<br>Thesis Advisor(s): Don Brutzman. "March 2006." Includes bibliographical references (p. 219-222). Also available online.
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39

Kneeland, Cara M. "Understanding human decision making with automation using Systems Factorial Technology." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1629457229414758.

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40

Berman, Ohad. "Modeling cognitive and tactical aspects in hunter-killer missions." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FBerman.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, December 2006.<br>Thesis Advisor(s): Moshe Kress, Kyle Lin. "December 2006." Includes bibliographical references (p. 87-89). Also available in print.
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41

Shi, Zhenzhen. "A MARKOV DECISION PROCESS EMBEDDED WITH PREDICTIVE MODELING: A MODELING APPROACH FROM SYSTEM DYNAMICS MATHEMATICAL MODELS, AGENT-BASED MODELS TO A CLINICAL DECISION MAKING." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20578.

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Doctor of Philosophy<br>Department of Industrial & Manufacturing Systems Engineering<br>David H. Ben-Arieh<br>Chih-Hang Wu<br>Patients who suffer from sepsis or septic shock are of great concern in the healthcare system. Recent data indicate that more than 900,000 severe sepsis or septic shock cases developed in the United States with mortality rates between 20% and 80%. In the United States alone, almost $17 billion is spent each year for the treatment of patients with sepsis. Clinical trials of treatments for sepsis have been extensively studied in the last 30 years, but there is no general
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42

Hammers, Dustin B. "Cognitive modeling analysis of performance of the Iowa Gambling Task in undergraduates reporting substance use." Ohio : Ohio University, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1131488756.

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43

Rothrock, Ling. "Modeling skilled decision-making using artificial neural network and genetic-based machine learning techniques." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/25084.

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44

Xie, Junfei. "Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862845/.

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Managing large-scale dynamical systems (e.g., transportation systems, complex information systems, and power networks, etc.) in real-time is very challenging considering their complicated system dynamics, intricate network interactions, large scale, and especially the existence of various uncertainties. To address this issue, intelligent techniques which can quickly design decision-making strategies that are robust to uncertainties are needed. This dissertation aims to conquer these challenges by exploring a data-driven decision-making framework, which leverages big-data techniques and scalabl
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45

Ahn, Hyungil 1976. "Modeling and analysis of affective influences on human experience, prediction, decision making, and behavior." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61929.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 207-212).<br>Subjective and affective elements are well-known to influence human decision making. This dissertation presents a theoretical and empirical framework on how human decision makers' subjective experience and affective prediction influence their choice behavior under uncertainty, frames and emotions. The framework extends and integrates existing theories of prospect th
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46

Fu, Yee-tien. "Simulation modeling of information flows in decision making processes for design-to-manufacturing strategies." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/45938.

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<p>Most successful manufacturing companies were initially formed around a unique or superior product design. As a result of this trend, many companies, especially in high-technology industries, considered design and marketing the company's primary functions. When the United States had superior manufacturing technological capabilities in the 1950's and 1960's, corporate management could systematically neglect manufacturing and still be successful. Manufacturing was treated as a service organization and evaluated in the negative terms of poor quality, low productivity, high wage rates, and so
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47

Ahlberg, Helgee Ernst. "Improving drug discovery decision making using machine learning and graph theory in QSAR modeling." Göteborg : Dept. of Chemistry, University of Gothenburg, 2010. http://gupea.ub.gu.se/dspace/handle/2077/21838.

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48

Zilker, Veronika [Verfasser]. "Measuring and Modeling the Construction of Preferences in Decision Making under Risk / Veronika Zilker." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1216878145/34.

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49

Ganapathy, Subhashini. "HUMAN-CENTERED TIME-PRESSURED DECISION MAKING IN DYNAMIC COMPLEX SYSTEMS." Wright State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1152229142.

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50

Sinayev, Aleksandr. "Dual-System Theories of Decision Making: Analytic Approaches and Empirical Tests." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471296200.

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