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Autor: Grafiati

Data publikacji: 26 lipca 2024

Data aktualizacji: 31 lipca 2025

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1

Wångmar, Erik. "Från sockenkommun till storkommun : En analys av storkommunreformens genomförande 1939-1952 i en nationell och lokal kontext." Doctoral thesis, Växjö universitet, Institutionen för humaniora, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-384.

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The primary aim of this study is to provide a deeper and more complete understanding of why the great municipal amalgamation (storkommunreformen) during the 1940s became the political solution to the problem that the Government believed many of Sweden’s municipalities had in satisfactorily providing for a local welfare society. The study also describes the results of this large-scale reorganization process. The events examined include the political decision-making process at the national level that took place during 1939-1949, as well as the regional/local realization of these decisions during

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Ouederni, Bechir Nacer. "Development of a strategic capital-expenditure decision model incorporating the product abandonment option." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/39036.

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Olid, Pilar. "Making Models with Bayes." CSUSB ScholarWorks, 2017. https://scholarworks.lib.csusb.edu/etd/593.

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Bayesian statistics is an important approach to modern statistical analyses. It allows us to use our prior knowledge of the unknown parameters to construct a model for our data set. The foundation of Bayesian analysis is Bayes' Rule, which in its proportional form indicates that the posterior is proportional to the prior times the likelihood. We will demonstrate how we can apply Bayesian statistical techniques to fit a linear regression model and a hierarchical linear regression model to a data set. We will show how to apply different distributions to Bayesian analyses and how the use of a pri

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4

Saboo, Pallabi. "A decision model to aid entry-mode strategy selection." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09122009-040423/.

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Cho, Young Jin. "Effects of decomposition level on the intrarater reliability of multiattribute alternative evaluation." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-171537/.

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6

Heller, Collin M. "A computational model of engineering decision making." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50272.

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The research objective of this thesis is to formulate and demonstrate a computational framework for modeling the design decisions of engineers. This framework is intended to be descriptive in nature as opposed to prescriptive or normative; the output of the model represents a plausible result of a designer's decision making process. The framework decomposes the decision into three elements: the problem statement, the designer's beliefs about the alternatives, and the designer's preferences. Multi-attribute utility theory is used to capture designer preferences for multiple objectives under unc

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Duan, Chunming. "A unified decision analysis framework for robust system design evaluation in the face of uncertainty." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-170155/.

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8

Andrews, Rick L. "Temporal changes in marketing mix effectiveness." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-07282008-134759/.

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Abbas, Mustafa Sulaiman. "Consistency Analysis for Judgment Quantification in Hierarchical Decision Model." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/2699.

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The objective of this research is to establish consistency thresholds linked to alpha (α) levels for HDM’s (Hierarchical Decision Model) judgment quantification method. Measuring consistency in order to control it is a crucial and inseparable part of any AHP/HDM experiment. The researchers on the subject recommend establishing thresholds that are statistically based on hypothesis testing, and are linked to the number of decision variables and (α) level. Such thresholds provide the means with which to evaluate the soundness and validity of an AHP/HDM decision. The linkage of thresholds to (α) l

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10

Steffanny, Elaine. "Design communication through model making a taxonomy of physical models in interior design education /." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1468135.

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11

Gilmore, Joan Maree, and n/a. "Rational, nonrational and mixed models of policy making in a high school change process." University of Canberra. Education, 1992. http://erl.canberra.edu.au./public/adt-AUC20060712.092715.

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In many schools hours of energy and effort are dedicated to making decisions and developing policy. At the school level issues of curriculum, faculty groupings and structure, strategy for staff allocations and resourcing of faculties, often results in debate before being decided upon. So often valuable time and resources are wasted in argument, disagreement and political activity. This study has been designed to determine what actually happens in the decision process, with the subject of the study a single committee. The aim of the study is to determine the style of policy development that too

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12

Hilgenkamp, Heather. "Contrasting multiple models of brand equity’s role in consumer decision making." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18711.

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Doctor of Philosophy<br>Department of Psychological Sciences<br>Gary Brase<br>Brand Equity is a common phrase in consumer research, but there is still a lot of ambiguity surrounding the measurement of this concept (Keller, 2008). Several methods of measurement have been proposed over the years, but no one method has been adopted as the ideal way to predict purchase intent and measure brand equity. The current research tested three theories—Social Exchange Theory (SET), Theory of Planned Behavior (TPB), and the Yoo and Donthu model—to see which is the best predictor of purchase intent and brand

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Mangleburg, Tamara F. "A socialization model of children's perceived purchase influence : family type, hierarchy, and parenting practices /." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-08222008-063056/.

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14

Dosne, Anne-Gaëlle. "Improved Methods for Pharmacometric Model-Based Decision-Making in Clinical Drug Development." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-305697.

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Pharmacometric model-based analysis using nonlinear mixed-effects models (NLMEM) has to date mainly been applied to learning activities in drug development. However, such analyses can also serve as the primary analysis in confirmatory studies, which is expected to bring higher power than traditional analysis methods, among other advantages. Because of the high expertise in designing and interpreting confirmatory studies with other types of analyses and because of a number of unresolved uncertainties regarding the magnitude of potential gains and risks, pharmacometric analyses are traditionally

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15

Burciaga, Aaron D. "A dynamic model for political stakeholders forecasting the actions and relationships of Lebanese Hizbullah with Markov decision processes /." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Jun/10Jun%5FBurciaga.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2010.<br>Thesis Advisor(s): Kress, Moshe ; Szechtman, Roberto ; Second Reader: Atkinson, Michael. "June 2010." Description based on title screen as viewed on July 14, 2010. Author(s) subject terms: Lebanese Hizbullah; Lebanese Diaspora; Lebanon; Markov Decision Process; Dynamic Bayesian Network; Hidden Markov Models; Decision Analysis; Decision Theory; Decision Tree; State Tree; Influence Diagram; GeNIe; Stakeholder; State Space; Rational Actor; Action; Interest; Distribution; Forecast. Includes bibliographical references (p

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AlMutairi, Bandar Saud. "Statistical Models for Characterizing and Reducing Uncertainty in Seasonal Rainfall Pattern Forecasts to Inform Decision Making." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/940.

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Uncertainty in rainfall forecasts affects the level of quality and assurance for decisions made to manage water resource-based systems. However, eliminating uncertainty in a complete manner could be difficult, decision-makers thus are challenged to make decisions in the light of uncertainty. This study provides statistical models as an approach to cope with uncertainty, including: a) a statistical method relying on a Gaussian mixture (GM) model to assist in better characterize uncertainty in climate model projections and evaluate their performance in matching observations; b) a stochastic mode

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Stuart, Julie Ann. "A strategic environmentally conscious production decision model." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/24160.

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Durak, Tolga. "A Framework for Simplified Residential Energy Consumption Assessment towards Developing Performance Prediction Models for Retrofit Decision-Making." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77255.

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This research proposes to simplify the energy consumption assessment for residential homes while building the foundation towards the development of prediction tools that can achieve a credible level of accuracy for confident decision making. The energy consumption assessment is based on simplified energy consumption models. The energy consumption analysis uses a reduced number of energy model equations utilizing a critical, limited set of parameters. The results of the analysis are used to develop the minimum set of consumption influence parameters with predicted effects for each energy consum

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19

Fard, Pouyan R., Hame Park, Andrej Warkentin, Stefan J. Kiebel, and Sebastian Bitzer. "A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230313.

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Perceptual decision making can be described as a process of accumulating evidence to a bound which has been formalized within drift-diffusion models (DDMs). Recently, an equivalent Bayesian model has been proposed. In contrast to standard DDMs, this Bayesian model directly links information in the stimulus to the decision process. Here, we extend this Bayesian model further and allow inter-trial variability of two parameters following the extended version of the DDM. We derive parameter distributions for the Bayesian model and show that they lead to predictions that are qualitatively equivalen

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Hassler, Ryan Scott. "Mathematical comprehension facilitated by situation models: Learning opportunities for inverse relations in elementary school." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/410935.

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Math & Science Education<br>Ph.D.<br>The Common Core State Standards call for more rigorous, focused, and coherent curriculum and instruction, has resulted in students being faced with more cognitively high-demanding tasks which involve forming connections within and between fundamental mathematical concepts. Because mathematical comprehension generally relates back to one’s ability to form connections to prior knowledge, this study sought to examine the extent to which current learning environments expose students to connection-making opportunities that may help facilitate mathematical unders

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Khattar, Vanshaj. "Threat Assessment and Proactive Decision-Making for Crash Avoidance in Autonomous Vehicles." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103470.

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Threat assessment and reliable motion-prediction of surrounding vehicles are some of the major challenges encountered in autonomous vehicles' safe decision-making. Predicting a threat in advance can give an autonomous vehicle enough time to avoid crashes or near crash situations. Most vehicles on roads are human-driven, making it challenging to predict their intentions and movements due to inherent uncertainty in their behaviors. Moreover, different driver behaviors pose different kinds of threats. Various driver behavior predictive models have been proposed in the literature for motion predic

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Gil, Pascual Miriam. "Adapting Interaction Obtrusiveness: Making Ubiquitous Interactions Less Obnoxious. A Model Driven Engineering approach." Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/31660.

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La Computaci'on Ubicua plantea proveer de inteligencia a nuestros entornos ofreciendo servicios a los usuarios que permitan ayudarlos en su vida cotidiana. Con la inclusi'on de dispositivos ubicuos en nuestra vida (por ejemplo los dispositivos m'oviles), los usuarios hemos pasado a estar siempre conectados al entorno, pudiendo interactuar con el. Sin embargo, a diferencia de las interacciones de escritorio tradicionales donde los usuarios eran quienes ped'¿an informaci'on o introduc'¿an datos, las interacciones ubicuas tienen que lidiar con un entorno de los usuarios variable, demandando

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23

Watkiss, Brendon Miles. "The SLEUTH urban growth model as forecasting and decision-making tool." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1654.

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Thesis (MSc (Geography and Environmental Studies))--Stellenbosch University, 2008.<br>Accelerating urban growth places increasing pressure not only on the efficiency of infrastructure and service provision, but also on the natural environment. City managers are delegated the task of identifying problem areas that arise from this phenomenon and planning the strategies with which to alleviate them. It is with this in mind that the research investigates the implementation of an urban growth model, SLEUTH, as a support tool in the planning and decision making process. These investigations are

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Hutchinson, Craig Alan. "Multiscale Modelling as an Aid to Decision Making in the Dairy Industry." Thesis, University of Canterbury. Chemical and Process Engineering, 2006. http://hdl.handle.net/10092/2146.

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This work presents the first known attempt to model the dairy business from a multiscale modelling perspective. The multiscale nature of the dairy industry is examined with emphasis on those key decision making and process scales involved in production. Decision making scales identified range from the investor level to the plant operator level, and encompass business, production, plant, and operational levels. The model considers scales from the production manager to the unit operation scale. The cheese making process is used to demonstrate scale identification in the context of the important

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25

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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Barwich, Ann-Sophie. "Making sense of smell : classifications and model thinking in olfaction theory." Thesis, University of Exeter, 2013. http://hdl.handle.net/10871/13869.

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This thesis addresses key issues of scientific realism in the philosophy of biology and chemistry through investigation of an underexplored research domain: olfaction theory, or the science of smell. It also provides the first systematic overview of the development of olfactory practices and research into the molecular basis of odours across the 19th and 20th century. Historical and contemporary explanations and modelling techniques for understanding the material basis of odours are analysed with a specific focus on the entrenchment of technological process, research tradition and the definiti

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MONROE, STUART ROBERT. "COMPUTER SIMULATION MODEL FOR STRATEGIC MANAGEMENT DECISIONS RELATED TO YUMA, ARIZONA CITRUS ORCHARDS (POLICY, OPTIMIZATION, OPERATIONS)." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/187986.

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This research assisted the Yuma, Arizona citrus orchard manager in his strategic planning for achieving a low-cost position in a focused segment of the citrus industry. Citrus growers in the Yuma district are faced with major changes in their competitive environment and must adopt new strategic plans in order to continue to compete effectively in what has recently become a global industry. Since the planning horizon for new citrus orchards is in excess of 20 years, a long range planning model was developed to aid in evaluating alternative operating strategies. This research established the int

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Marinelli, Marco Antonio. "Modelling and communicating the effects of spatial data uncertainty on spatially based decision-making." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/1842.

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Important economic and environmental decisions are routinely based on spatial/ temporal models. This thesis studies the uncertainty in the predictions of three such models caused by uncertainty propagation. This is considered important as it quantifies the sensitivity of a model’s prediction to uncertainty in other components of the model, such as the model’s inputs. Furthermore, many software packages that implement these models do not permit users to easily visualize either the uncertainty in the data inputs, the effects of the model on the magnitude of that uncertainty, or the sensitivity o

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Xu, Lu. "The Importance of Construct Definition and Specification in Operations Management Structured Model Research: The Case for Quality and Sustainability Constructs in a Decision-Making Model." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248479/.

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In the operations management research, the inconsistent use of the same term for different concepts and the use of the similar concepts for different constructs potentially causes theoretical and statistical problems. This research addresses the importance of construct definitions and specification methodologically within the context of quality and sustainability management. It involves three essays using multiple quantitative methods such as partial least squares structural equation modeling and multiple regression in different consumer decision-making models in the automobile industry. In th

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Guisse, Amadou Wane. "Spatial model development for resource management decision making and strategy formulation : application of neural network (Mounds State Park, Anderson, Indiana)." Virtual Press, 1993. http://liblink.bsu.edu/uhtbin/catkey/864949.

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An important requirement of a rational policy for provision of outdoor recreation opportunities is some understanding of natural processes and public concern and /or preferences. Computerized land use suitability mapping is a technique which can help find the best location for a variety of developmental actions given a set of goals and other criteria. Over the past two decades, the methods and techniques of land use planning have been engaged in a revolution on at least two fronts as to shift the basic theories and attitudes of which land use decisions are based. The first of these fronts is t

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Cope, Dayana. "AUTOMATIC GENERATION OF SUPPLY CHAIN SIMULATION MODELS FROM SCOR BASED ONTOLOGIES." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2640.

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In today's economy of global markets, supply chain networks, supplier/customer relationship management and intense competition; decision makers are faced with a need to perform decision making using tools that do not accommodate the nature of the changing market. This research focuses on developing a methodology that addresses this need. The developed methodology provides supply chain decision makers with a tool to perform efficient decision making in stochastic, dynamic and distributed supply chain environments. The integrated methodology allows for informed decision making in a fast, sharabl

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Martínez-García, Marina. "Statistical analysis of neural correlates in decision-making." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/283111.

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We investigated the neuronal processes which occur during a decision- making task based on a perceptual classi cation judgment. For this purpose we have analysed three di erent experimental paradigms (somatosensory, visual, and auditory) in two di erent species (monkey and rat), with the common goal of shedding light into the information carried by neurons. In particular, we focused on how the information content is preserved in the underlying neuronal activity over time. Furthermore we considered how the decision, the stimuli, and the con dence are encoded in memory and, when the exp

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Mathur, Kush. "Mathematical Models and Genetic Algorithm Approaches to Simultaneously Perform Workforce Overtime Capacity Planning and Schedule Cells." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1351306927.

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Ghebretsadik, Amanuel Habte. "Farm planning for a typical crop-livestock integrated farm : an application of a mixed integer linear programming model." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49965.

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Assignment (MSc) -- University of Stellenbosch, 2004.<br>ENGLISH ABSTRACT: In an integrated crop-livestock production farm, the profitability and sustainability of farm production is dependent on the crop rotation strategy applied. Crop rotations have historically been applied to maintain long-term profitability and sustainabiliry of farming production by exploiting the jointly beneficial interrelationships existing among different crop types and the animal production activity. Monocrop (specifically wheat) growers in the Swartland area of the Western Cape are struggling to maintain lo

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Lavoie, João Ricardo. "A Scoring Model to Assess Organizations' Technology Transfer Capabilities: the Case of a Power Utility in the Northwest USA." PDXScholar, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/4995.

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This research intends to advance knowledge in the technology management field, most importantly in the study of organizations that develop technologies in-house and wish to enhance their technology transfer performance while maintaining adherence between R&D activities and overall business strategies. The objective was to build a multi-criteria decision-making model capable of producing a technology transfer score, which can be used by practitioners in order to assess and later improve their organizations' technology transfer capabilities -- ultimately aiming to improve technology development

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Graf, Brolund Alice. "Compartmental Models in Social Dynamics." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448163.

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The dynamics of many aspects of social behaviour, such as spread of fads and fashion, collective action, group decision-making, homophily and disagreement, have been captured by mathematical models. The power of these models is that they can provide novel insight into the emergent dynamics of groups, e.g. 'epidemics' of memes, tipping points for collective action, wisdom of crowds and leadership by small numbers of individuals, segregation and polarisation. A current weakness in the scientific models is their sheer number. 'New' models are continually 'discovered' by physicists, engineers and

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Ko, Hung-Tse. "Distribution system meta-models in an electronic commerce environment." Ohio : Ohio University, 2001. http://www.ohiolink.edu/etd/view.cgi?ohiou1173977323.

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Soh, Boon Kee. "Validation of the recognition-primed decision model and the roles of common-sense strategies in an adversarial environment." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26173.

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This dissertation set out to understand the decision processes used by decision makers in adversarial environment by setting up an adversarial decision making microworld, as an experimental platform, using a real time strategy (RTS) game called Rise of Nations (RON). The specific objectives of this dissertation were: 1.Contribute to the validation of recognition-primed decision (RPD) model in a simulated adversarial environment; 2.Explore the roles of common-sense strategies in decision making in the adversarial environment; and 3.Test the effectiveness of training recommendations based on th

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Mutongo, Tongai. "Nascent technology ventures commercialization: A framework for capability development and business model transitions." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2023. https://ro.ecu.edu.au/theses/2678.

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This study examines the development of business models in early-stage technology startups and explores the impact of entrepreneurial decisions on the venture's structure and success. The research sheds light on the importance of adapting business models to address complexity and uncertainty and examines the use of strategic decision-making logics by technology ventures. The findings reveal that early-stage technology ventures employ a combination of bricolage and effectuation logics, transitioning to a hybrid approach, which leads to greater success for firms with strong adaptive capabilities.

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Marković, Dimitrije, and Stefan J. Kiebel. "Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-214867.

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Probabilistic models of decision making under various forms of uncertainty have been applied in recent years to numerous behavioral and model-based fMRI studies. These studies were highly successful in enabling a better understanding of behavior and delineating the functional properties of brain areas involved in decision making under uncertainty. However, as different studies considered different models of decision making under uncertainty, it is unclear which of these computational models provides the best account of the observed behavioral and neuroimaging data. This is an important issue,

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41

Loire, Cédric. "L’art de (ne pas) fabriquer : Évolution des modes de conception et de production de la sculpture, a l’ère de l’objet produit en masse, entre le milieu des années 1950 et le début des annees 1970, aux États-Unis." Thesis, Tours, 2012. http://www.theses.fr/2012TOUR2035/document.

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L’analyse de la réception critique des nouvelles formes d’art apparaissant dès la fin des années 1950 et se développant au cours des années 1960, en particulier dans le champ de la sculpture et des œuvres en trois dimensions, constitue le socle de notre réflexion. Celle-ci vise à mettre en lumière les profondes évolutions que connaissent les processus de conception et de production des œuvres en trois dimensions, chez des artistes que la réception critique « à chaud » puis l’histoire de l’art ont séparés en fonction de critères stylistiques : néo-dada, pop, minimal… L’observation de ces déplac

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Turcanu, Catrinel. "Multi-criteria decision aiding model for the evaluation of agricultural countermeasures after an accidental release of radionuclides to the environment." Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210642.

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Multi-criteria decision aid has emerged from the operational research field as the answer given to a couple of important questions encountered in complex decisions problems. Firstly, as decision aiding tools, such methods do not replace the decision maker with a mathematical model, but support him to construct his solution by describing and evaluating his options. Secondly, instead of using a unique criterion capturing all aspects of the problem, in the multi-criteria decision aid methods one seeks to build multiple criteria, representing several points of view. <p>This work explores the appli

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Marković, Dimitrije, and Stefan J. Kiebel. "Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments." Frontiers Research Foundation, 2016. https://tud.qucosa.de/id/qucosa%3A30009.

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Probabilistic models of decision making under various forms of uncertainty have been applied in recent years to numerous behavioral and model-based fMRI studies. These studies were highly successful in enabling a better understanding of behavior and delineating the functional properties of brain areas involved in decision making under uncertainty. However, as different studies considered different models of decision making under uncertainty, it is unclear which of these computational models provides the best account of the observed behavioral and neuroimaging data. This is an important issue,

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Neilan, Lourdes T. "Design and Implementation of a Data Model for the Prototype Monitor Assignment Support System." Thesis, Ft. Belvoir Defense Technical Information Center, 1994. http://handle.dtic.mil/100.2/ADA288467.

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González, Ramírez Humberto. "Study of the choice behaviour of travellers in a transport network via a “simulation game” Travel time and bounded rationality in travellers’ route choice behaviour : a computer route choice experiment Unravelling travellers’ route choice behaviour at full-scale urban network by focusing on representative OD pairs in computer experiments." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSET008.

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L'objectif de cette thèse est de trouver des modèles de choix d'itinéraire qui évoluent au niveau du réseau, c'est-à-dire des modèles qui rapprochent les choix des voyageurs sur la diversité des situations rencontrées dans un réseau de transport. L'approche de cette thèse pour étudier le comportement des voyageurs dans les réseaux de transport passe par des expériences informatiques à grande échelle, pour lesquelles une plateforme nommée Mobility Decision Game (MDG) a été développée. Le MDG permet d'observer les choix des participants sur un ensemble diversifié de scénarios (paires OD et itiné

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Wilczkowski, Susanna. "The Pricing Decision Process in Software-as-a-Service Companies." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-276464.

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This study examines various approaches used by companies providingsoftware-as-a-service (SaaS) in a business-to-business (B2B) environment to find a pricing strategy. To be able to meet competition in a global market, a good pricing strategy is vital. Pricing is an important part of marketing, which must be congruent with the company's overall objectives. Strategic pricing is made up of different factors represented in the strategic pricing pyramid, which is based on a value-based approach. It is paramount to know your customers and their preferences when designing a pricing strategy and selec

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Koehn, Amy R. "To report or not report : a qualitative study of nurses' decisions in error reporting." Thesis, Indiana University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3665927.

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<p> This qualitative study was successful in utilization of grounded theory methodology to ascertain nurses' decision-making processes following their awareness of having made a medical error, as well as how and/or if they corrected and reported the error. Significant literature documents the existence of medical errors; however, this unique study interviewed thirty nurses from adult intensive care units seeking to discover through a detailed interview process their individual stories and experiences, which were then analyzed for common themes. Common themes led to the development of a theoret

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Theodoni, Panagiota. "Fluctuations in perceptual decisions : cortical microcircuit dynamics mediating alternations in conscious visual perception." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/145642.

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Fluctuations in perceptual decisions emerge when our brain confronts with ambiguous sensory stimuli. For instance, our perception alternates between two conflicting images when presented dichoptically to our eyes, allowing a dissociation of the sensory stimulation from the conscious visual perception, and therefore providing a gateway to consciousness. How does the brain work when it deals with such ambiguous sensory stimuli? We addressed this question theoretically by employing a biophysically realistic attractor network, by consistently reducing it to a four- variable rate- based model

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Shakeri, Shakib. "A mathematical modeling framework for scheduling and managing multiple concurrent tasks." Thesis, 2002. http://hdl.handle.net/1957/31165.

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Occurrence of human error in highly complex systems, such as a cockpit, can be disastrous and/or overwhelmingly costly. Mismanagement of multiple concurrent tasks has been observed by researchers to be a type of repetitive human error in previous studies of accidents and incidents. This error may occur in the form of wrong selection of a strategy to attend to tasks, and/or wrong assessment of a task's priority at each moment. The desire to prevent such errors forms two essential questions: 1) Is there any (near) optimal method of managing multiple concurrent tasks? 2) How optimally do human op

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Yuan, Soe-Tsyr. "Knowledge-based decision model construction for hierarchical diagnosis and repair." Thesis, 1994. http://hdl.handle.net/1957/35300.

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Knowledge-Based Model Construction (KBMC) has generated a lot of attention due to its importance as a technique for generating probabilistic or decision-theoretic models whose range of applicability in AI has been vastly increased. However, no one has tried to analyze the essential issues in KBMC, to determine if there exists a general efficient KBMC method for any problem domain, or to y identify the fruitful future research on KBMC. This research presents a unified framework for comparative analysis of KBMC systems identifying the essential issues in KBMC, showing that there is no such gener

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