Dissertations / Theses: 'Computer decision support systems'

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Riabacke, Ari. "Computer based prescriptive decision support." Licentiate thesis, Mid Sweden University, Department of Information Technology and Media, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-5497.

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Geraghty, Peter James. "Computer based decision support systems for environmental assessment." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367243.

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Williams, C. Lesley. "A computer-based decision support system for orthodontic diagnosis and treatment planning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq21223.pdf.

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Boyd, Richard K. "A weapons systems development decision support system." Thesis, Monterey, Calif. : Naval Postgraduate School, 1992. http://handle.dtic.mil/100.2/ADA251791.

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Thesis (M.S. in Information Systems)--Naval Postgraduate School, March 1992.
Thesis Advisor: Nakagawa, Gordon. "March 1992." Description based on title screen as viewed on March 4, 2009. Includes bibliographical references (p. 66).

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Li, Xiaobo 1976. "Decision support systems using object-oriented technology." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86539.

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Hamilton-Wright, Andrew. "Transparent Decision Support Using Statistical Evidence." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/778.

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An automatically trained, statistically based, fuzzy inference system that functions as a classifier is produced. The hybrid system is designed specifically to be used as a decision support system. This hybrid system has several features which are of direct and immediate utility in the field of decision support, including a mechanism for the discovery of domain knowledge in the form of explanatory rules through the examination of training data; the evaluation of such rules using a simple probabilistic weighting mechanism; the incorporation of input uncertainty using the vagueness abstraction of fuzzy systems; and the provision of a strong confidence measure to predict the probability of system failure.

Analysis of the hybrid fuzzy system and its constituent parts allows commentary on the weighting scheme and performance of the "Pattern Discovery" system on which it is based.

Comparisons against other well known classifiers provide a benchmark of the performance of the hybrid system as well as insight into the relative strengths and weaknesses of the compared systems when functioning within continuous and mixed data domains.

Classifier reliability and confidence in each labelling are examined, using a selection of both synthetic data sets as well as some standard real-world examples.

An implementation of the work-flow of the system when used in a decision support context is presented, and the means by which the user interacts with the system is evaluated.

The final system performs, when measured as a classifier, comparably well or better than other classifiers. This provides a robust basis for making suggestions in the context of decision support.

The adaptation of the underlying statistical reasoning made by casting it into a fuzzy inference context provides a level of transparency which is difficult to match in decision support. The resulting linguistic support and decision exploration abilities make the system useful in a variety of decision support contexts.

Included in the analysis are case studies of heart and thyroid disease data, both drawn from the University of California, Irvine Machine Learning repository.

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Khan, Q. "A computer graphics approach to logistics strategy modelling." Thesis, Cranfield University, 1990. http://dspace.lib.cranfield.ac.uk/handle/1826/4755.

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This thesis describes the development and application of a decision support system for logistics strategy modelling. The decision support system that is developed enables the modelling of logistics systems at a strategic level for any country or area in the world. The model runs on IBM PC or compatible computers under DOS (disk operating system). The decision support system uses colour graphics to represent the different physical functions of a logistics system. The graphics of the system is machine independent. The model displays on the screen the map of the area or country which is being considered for logistic planning. The decision support system is hybrid in term of algorithm. It employs optimisation for allocation. The customers are allocated by building a network path from customer to the source points taking into consideration all the production and throughput constraints on factories, distribution depots and transshipment points. The system uses computer graphic visually interactive heuristics to find the best possible location for distribution depots and transshipment points. In a one depot system it gives the optimum solution but where more than one depot is involved, the optimum solution is not guaranteed. The developed model is a cost-driven model. It represents all the logistics system costs in their proper form. Its solution very much depends on the relationship between all the costs. The locations of depots and transshipment points depend on the relationship between inbound and outbound transportation costs. The model has been validated on real world problems, some of which are described here. The advantages of such a decision support system for the formulation of a problem are discussed. Also discussed is the contribution of such an approach at the validation and solution presentation stages.

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Gudala, Satyaveer Goud. "Skyline queries for multi-criteria decision support systems." Kansas State University, 2011. http://hdl.handle.net/2097/13250.

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Master of Science
Department of Computing and Information Sciences
William H. Hsu
In decision-making applications, the Skyline query is used to find a set of non-dominated data points (called Skyline points) in a multi-dimensional dataset. A data point dominates another data point if it is at least as good as the other data point in all dimensions and better in at least one dimension. The skyline consists of data points not dominated by any other data point. Computing the skyline points of a dataset is essential for applications that involve multi-criteria decision making. Skyline queries filter out the interesting tuples from a potentially large dataset. No matter how we weigh our preferences along the attributes, only those tuples which score best under a monotone scoring function are part of the skyline. In other words, the skyline does not contain tuples which are nobody's favorite. With a growing number of real-world applications involving multi-criteria decision making over multiple dimensions, skyline queries can be used to answer those problems accurately and efficiently. This report mainly focuses on various skyline computing algorithms which can be used for online processing efficiently and are suitable to present multi-criteria decision making scenario. I implemented the Branch-and-Bound skyline Algorithm on two different data sets; one is a synthetic dataset and the other is a real dataset. My aim is to explore various subspaces of a given dataset and compute skylines over them, especially those subspace skylines which contain the least number of the skyline points.

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Fröberg, Joakim. "Engineering Automotive Electronic Systems: Decision Support for Successful Integration." Doctoral thesis, Mälardalen University, Department of Computer Science and Electronics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-459.

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The electronic system of a modern vehicle is essential to achieve a successful automotive product. Vehicle development is performed by integrating components that include embedded electronics from several suppliers.

This thesis present results on the subject of integration of automotive electronic systems. Our studies aim at providing knowledge on how to integrate automotive electronic systems successfully in a setting where vehicles are developed based on existing platforms. We focus on early phases of automotive electronic system development and in particular on the decisions taken in integration of electronic sub-systems. The contribution is the presented support for making decisions to successfully integrate electronic systems for modern vehicles. The contribution includes an overview of driving factors of automotive electronics system design, a validated set of success practices for the integration of electronic components, and the proposal and demonstration of a decision model. The influential factors and the validated set of practices stems from case studies of products and projects while the proposed decision model is a result of combining two general models for architecture analysis and decision making, ATAM and AHP.

We demonstrate that choices in strategy and design preceding integration are central to achieve a successful integration. Our studies show that problems arise from omitted strategy decisions and we provide a checklist for decision making in the areas; functionality, platform, integration design, and assigning responsibilities. We provide a recommendation that we validate in a multiple cases study where fulfillment of recommendations is demonstrated to affect project success in integration projects.

The potential gain for OEMs using our results lies in achieving more solid foundations for design decisions. Designers and managers could potentially find central decisions on integration strategy early that, if omitted, could cause delays. Thus, applying the result could avoid pitfalls and enable successful integration projects.

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Chi, Chih-Lin Street William N. "Medical decision support systems based on machine learning." Iowa City : University of Iowa, 2009. http://ir.uiowa.edu/etd/283.

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Kothari, Sonal. "Developing image informatics methods for histopathological computer-aided decision support systems." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52942.

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This dissertation focuses on developing imaging informatics algorithms for clinical decision support systems (CDSSs) based on histopathological whole-slide images (WSIs). Currently, histopathological analysis is a common clinical procedure for diagnosing cancer presence, type, and progression. While diagnosing patients using biopsy slides, pathologists manually assess nuclear morphology. However, making decisions manually from a slide with millions of nuclei can be time-consuming and subjective. Researchers have proposed CDSSs that help in decision making but they have limited reproducibility. The development of robust CDSSs for WSIs faces several informatics challenges: (1) Lack of robust segmentation methods for histopathological images, (2) Semantic gap between quantitative information and pathologist’s knowledge, (3) Lack of batch-invariant imaging informatics methods, (4) Lack of knowledge models for capturing informative patterns in large WSIs, and (5) Lack of guidelines for optimizing and validating diagnostic models. I conducted advanced imaging informatics research to overcome these challenges and developed novel methods to extract information from WSIs, to model knowledge embedded in large histopathological datasets, such as The Cancer Genome Atlas (TCGA), and to assist decision making with biological and clinical validation. I validated my methods for two applications: (1) diagnosis of histopathology-based endpoints such as subtype and grade and (2) prediction of clinical endpoints such as metastasis, stage, lymphnode spread, and survival. The statistically emergent feature subsets in the diagnostic models for histopathology-based endpoints were concordant with pathologists’ knowledge.

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Aiken, Milam Worth. "An expert systems approach to group decision support systems pre-session planning." Diss., The University of Arizona, 1991. http://catalog.hathitrust.org/api/volumes/oclc/31253019.html.

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Márquez, Jessica J. "Human-automation collaboration : decision support for lunar and planetary exploration /." Cambridge, Mass. : Ft. Belvior, VA : Springfield, Va. : Massachusetts Institute of Technology, Department of Aeronautics and Astronautics ; Available to the public through the Defense Technical Information Center ; National Technical Information Service [distributor], 2007. http://web.mit.edu/aeroastro/labs/halab/index.shtml.

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Thesis (Ph. D in Philosophy (Human-Systems Engineering))--Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, February 2007.
"February 2007." Thesis advisor: Mary L. Cummings. Performed by Massachusetts Institute of Technology, Humans & Automation Laboratory, Cambridge, Mass. "Submitted to the Department of Aeronautics and Astronautics on February 1, 2007 in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Human-Systems Engineering."--P. 3. Includes bibliographical references (p. 219-225). Also available online from the Massachusetts Institute of Technology (MIT) Humans and Automation Lab (HAL) Web site.

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Sims, Clayton Tyler. "Scientia : An end user development environment for decision support systems/." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/61293.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 91-92).
This thesis describes an end user programming environment that allows non-programmers to create decision support protocols for use on electronic devices. User centered design techniques were followed to identify the difficulties encountered by users when attempting to create complex protocols, specifically addressing the problems of the scale, complexity, and specificity required for a protocol to be effectively used. The result is a highly usable desktop client graphical user interface which can create protocols that can be exported in portable formats. A summative user study was conducted on the finished software in order to evaluate its success in enabling non-programmers to author protocols.
by Clayton Tyler Sims.
M.Eng.

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Boukraa, Adel. "Decision support system for management of military constructions." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FBoukraa.pdf.

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Eckhardt, John R. "Real-time reservoir operation decision support under the appropriation doctrine." Ft. Collins, Colo. : Colorado Water Resources Research Institute, 1991. http://hdl.handle.net/10176/co:3777_ucsu6141357internet.pdf.

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Schiess, Daniel. "DECISION SUPPORT SYSTEMS: SMART WORKFLOWS : In the context of telecommunication networks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142489.

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This thesis, conducted at Ericsson Software Research, investigates how workflows can be made to work more dynamically. The thesis further aims at recommending how such workflows can be applied in the context of network operation centres (NOC) - the steps needed for automation of trouble ticket handling. An agent-based solution is considered, where each agent implements a workflow, ruled by conventional methods, but the agents communicate in a way allowing new agents to appear as well as allowing disconnections and reconnections without disturbing other parts of the system. Furthermore, different artificial intelligence algorithms most suited for automatic information gathering are investigated, mainly for application in troubleshooting environments during telecommunication network management. The intention of this is to provide the workflows with the tools needed for automation of routine tasks – in a way users can easily understand and follow. The perception here is that Naïve Bayesian networks are preferred, as they are easy to train, scales good and inference from a Naïve net is easy to understand in an intuitive way. Further, ZeroMQ is recommended when designing a decoupled workflow system.
Detta examensarbete, som utförts vid Ericsson Software research, undersöker hur arbetsflöden kan göras mer dynamiska. Bland annat undersöks ett agentliknande system, där arbetsflöden styrs av konventionella metoder i respektive agent, men där agenterna kommunicerar på ett sätt som tillåter tillkomst och bortfall av agenter – utan att det påverkar andra delar av systemet. Vidare undersöks vilka algoritmer inom artificiell intelligens som bäst kan lämpa sig för automatisering av informationsinhämtning. Forskningen bedrivs inom telekommunikationsområdet – informationsinhämtningen är utformad att fungera i första hand i den kontexten. Syftet med detta är för att vidare förse arbetsflödena med de verktyg som krävs för att automatiskt utföra rutinuppgifter, men på ett sätt som användare enkelt kan följa och förstå. Uppfattningen här är att så kallade Naiva Bayesianska nät är att föredra, de är enkla att träna, skalar effektivt och slutledningar dragna ur ett Naivt nät är enkla att förstå på ett intuitivt sätt. Slutligen rekommenderas ZeroMQ när ett system utvecklas i syfte att implementera frikopplade arbetsflöden (decoupled workflow).

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Smith, James Martin. "The application of computer simulation to the development of manufacturing strategies." Thesis, University of the West of Scotland, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360230.

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Gan, Jyeh J. "Decision support systems for tool reuse and EOL processes." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39488.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 68-69).
Intel® is a manufacturing company that concentrates on the fabrication process of computer chips. Over the years and into the future, Intel® has gone through multiple and advanced generations of manufacturing technology caused by new fabrication techniques and increased wafer sizes. These advances have resulted in significant opportunities for cost reduction which includes reuse of semiconductor equipment within Intel factories and sale of used semiconductor equipment. To ensure assets are transferred in a safe and timely manner, Intel developed a 6D program (Decontamination, Decommission, Demolition, Demolition-System, Delivery, and Deployment) to standardize the EOL (End of Life) process of transferring a tool from the factory to its final destination in reuse, sale, parts harvesting, donation or scrap. Like other multi-national companies, Intel® has decentralized manufacturing processes over multiple worldwide sites; most if not all the fabrication, sort, and assembly tool information is archived in multiple repositories/systems. In addition to the scattering of knowledge, the tool-related information appears not to be comprehensive, including data fields not matching across multiple systems.
(cont.) As a result, significant time is consumed to ensure the comprehensiveness and the accuracy of the required data across the multiple sites. Thus a comprehensive map of information infrastructure based on the 6D process is necessary to understand and enhance efficiencies in the knowledge flow process. Detailed mapping of databases and their meta-data will help identify the thoroughness, accuracy, redundancy, and inefficiency in the tool-related information systems as they relate to 6D. A prototype of a "one-stop-site"was developed and key Knowledge Management recommendations were proposed to enhance efficiency by further reducing costs, time, and resources.
by Jyeh J. Gan.
S.M.
M.B.A.

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Rathwell, M. A. "Distributed decision-making systems; the rationale for and development of non-hierarchial system for linking distributed decision support systems : Enabling cooperation between differentiated organisational groups using these systems." Thesis, University of Bradford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371528.

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Kumar, Sujay V. "Vitri - A Generic Framework for Engineering Decision Support Systems on Heterogeneous Computer Networks." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-20020225-084940.

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Vitri is an object-oriented framework implemented in Java for high-performancedistributed computing. Using Vitri, applications can engage in cooperativeproblem solving by dividing their tasks among heterogeneous clusters of workstations and PCs. Vitri's features include basic support fordistributed computing and communication, as well as visual tools for evaluating run-time performance, and modules for heuristic optimization. It balances loads dynamically using a client-side task pool, allows theaddition or removal of servers during a run, and provides fault tolerance transparently for servers and networks. Among its more powerful featuresare modules for heuristic optimization and decision support tools such asmodeling to generate alternatives (MGA). Vitri also provides an asynchronous global-parallel genetic algorithm that is particularly suited for coarse-grained tasks executing on processors with large variations in processor speeds. By using dataflow techniques, in which computations areexplicitly based on the availability and forwarding of data, the usual end-of-generation synchronization points are removed from the algorithm. The tools in Vitri are applied to a number of different applicationsfrom the civil engineering domain. The results indicate the adaptability of Vitri to various problems and its utility as a tool for managing engineering decision support systems.

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Törnquist, Johanna. "Computer-based decision support for handling uncertainty in railway traffic and transportation." Licentiate thesis, Karlskrona : Blekinge Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00273.

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Railway transportation has great potential, but interdependencies in the railway traffic make trains very sensitive to disturbances, which can bedifficult to handle. Using railway in an intermodal transport chain may complicate the interconnections with other modes if there is large uncertainty in the performance of the railway. A study based on interviews with several customers of the Swedish National Railway Administration shows that the customers lack information regarding occurrences of disturbances and the consequences for their trains, i.e. the new estimated time of arrival. This information is necessary when taking actions within the customers’ organisation to minimise the negative impacts. Predicting the consequences of a disturbance and the effects of counter measures taken by the Swedish train traffic managers is today an overwhelming task considering there is no computational decision support available. However, provided that the traffic and decision-making could be simulated, the effects from disturbances and actions taken could be computed. Requirements regarding computational time for a simulation are obviously significant and affect the usefulness in a real-time environment. For strategic purposes, a simulator could also serve as an analytical tool for evaluating strategies for handling certain types of disturbances. An approach to model the different layers of such a simulator, taken into account the infrastructure, the traffic flow and the influence of the traffic management decisions and transport operators, is presented. The part that covers the interaction between train traffic and infrastructure has been implemented as a small-scale discrete-event simulator. The simulator is extended by an optimisation approach, attempting to act as decision support for the train traffic managers when handling disturbances by generating effective counter measures. It is composed by a linear model specifying the timetable of a sub-network and solved by optimisation software. Iteratively, a heuristic is applied to modify the timetable by changing meets and overtakes and generate a new updated linear model to be solved. In addition to consider the train traffic system as an explicit part of a transport chain, it can be seen as a black box where some relations between input and output are known. We have investigated how uncertainty in the reliability related to one or several transport links can be handled when combining several links into a transport chain. A simulation-based approach is proposed.

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Paranagama, Priyanka C. (Priyanka Chandana) 1969. "Using decision maker personality as a basis for building adaptive decision support system generators for senior decision makers." Monash University, School of Information Management and Systems, 2000. http://arrow.monash.edu.au/hdl/1959.1/8035.

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Napoliello, Michael F. "A study of managerial computer users: the impact of user sophistication on decision structure and attributes of decision-related information." Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/53651.

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With the advent of information technology, MIS research has tried to understand and describe the impact of this technology on organizations. To date the vast majority of this research has focused on a macro-level of analysis. But the introduction of the microcomputer has significantly altered the focus of computing through the development of a body of managerial computer users. This study looked at the following questions: What factors constitute an information technology user environment? What are the usage and knowledge differences which constitute a concept of user sophistication? Do those differences significantly impact on a user’s level of structured decisions and assessment of information attributes? To answer these questions a study was conducted of 229 middle managers in two academic institutions. The author developed a conceptual model of an information technology user to serve as the basis for the analysis. The study employed a multivariate regression analysis to test hypotheses developed from the user model. The results indicated that a positive relationship exists between managerial computer usage and a high perceived level of structured decisions. Furthermore, there was a strong association between a managerial user’s level of computer understanding and his assessment of information reliability and sufficiency. The study also identified significant differences in a user’s information technology environments and cognitive types.
Ph. D.

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Bilkay, Tunc. "A Decision Support System For Combining Forecasting Results." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/771121/index.pdf.

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The present study aims to develop an analysis package for combining forecasts that are obtained from different forecast methods. The package is composed of three modules, namely, the data input module, the data analysis module and the combination module. In data input module, the data is entered and saved as an Excel file with the given name. In data analysis module, the program computes the forecasts of the selected methods and displays the forecast results, the mean absolute errors, the mean square errors and the mean absolute percentage errors of these methods. In combination module, the forecast results, computed in the data analysis module, are combined according to the selected combination methods. All the detailed calculations of the forecasts and the values assigned by the program to minimize the mean absolute deviations, the mean square errors and the mean absolute percentage errors are displayed under the columns of the related method on the Excel spreadsheet of the file.

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Joyce, Robert K. "Successful Implementation of Decision Support Systems for Supply Chain Management within Manufacturing Companies." NSUWorks, 2005. http://nsuworks.nova.edu/gscis_etd/619.

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Decision Support Systems (DSS) development and implementation is a challenge that most manufacturing companies find difficult. However, implementing these complex systems is becoming more of a necessity to stay competitive in today's global economy. This paper reports on an in-depth empirical study of development/Implementation strategies commonly used in DSS and Enterprise Resource Planning (ERP) systems projects to promote success. The goal of the research was to determine which strategies promote success on DSS projects designed to enable supply chain management (SCM). Through a survey of 80 industry professionals, the Study establishes that there are strategies that should be utilized based on system type. DSS users must have strong analytical skills. They must be able to analyze, interpret, and act on complex data. These analytical skills were found to be significantly more important for DSS users to have than ERP users (p < 0.05). Intelligent SCM systems must include "what if' functionality and allow users to evaluate multiple business scenarios before acting. The "small releases" systems development methodology (i.e., phased approach to implementing business functionality was found to be more appropriate for DSS than ERP projects (p < 0.05). Many strategies, which are traditionally considered administrative in nature, were found to be more important for ERP systems projects (p< 0.05). Utilizing cross-functional project teams, ensuring user participation, securing top-management support, and providing extensive user training were all found to be significantly more important for ERP (p

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Gao, Shijia. "Intelligent agent assisted decision support for family financial planning /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?mphil-is-b19887735a.pdf.

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Thesis (M.Phil.)--City University of Hong Kong, 2005.
"Submitted to Department of Information Systems in partial fulfillment of the requirements for the degree of Master of Philosophy" Includes bibliographical references (leaves 114-132)

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Chen, Qian Jr. "Teamdec: a Group Decision Support System." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36877.

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TEAMDEC is a Group Decision Support System (GDSS). The development of a GDSS is supported by a broad spectrum of theories and techniques. Two major aspects of GDSS development were considered in TEAMDEC design: HCI and decision-making assistance. These two aspects interact to promote an interactive group decision support system with high quality. Decision guidance using a script-based knowledge representation improves the GDSS's efficiency, effectiveness, and flexibility. The traditional script, however, is relatively inflexible. The proposed application, TEAMDEC, provides a set of solutions to support customization in a script system to enhance the decision guidance utilization. The user interface design plays an important role in the overall system design. Two software development models (lifecycle model and V-model with backtracking) are adopted for TEAMDEC development. The user interface design of TEAMDEC is considered from three perspectives: functional, aesthetic, and structural. Quality is emphasized in the development of the interactive system. It can be measured from two perspectives: those of the user and the designer. The quality measures of TEAMDEC are categorized into external properties and internal properties, corresponding to the two perspectives.
Master of Science

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Arikenbi, Temitayo. "Decision Support for Multi-Criteria Energy Generation Problem." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6073.

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In this study, an attempt is made to apply Decision Support Systems (DSS) in planning for the expansion of energy generation infrastructure in Nigeria. There is an increasing demand for energy in that country, and the study will try to show that DSS modelling, using A Mathematical Programming Language (AMPL) as the modelling tool, can offer satisficing results which would be a good decision support resource for motivating how to expend investment for energy generation.
+46707267798

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Horner, Vincent Zion. "Developing a consumer health informatics decision support system using formal concept analysis." Diss., Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-05052008-112403/.

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Gestrelius, Sara. "Mathematical models for optimising decision support systems in the railway industry." Licentiate thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27758.

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After the deregulation of the Swedish railway industry, train operating companies compete for and on the same infrastructure. This makes the allocation of rail capacity a most delicate problem, and for a well-functioning railway system the allocation must be fair, efficient and functional. The capacity allocation tasks include e.g. constructing the yearly timetable and making track allocation plans for rail yards. The state of practice is that experienced planners construct the schedules manually with little or no decision support. However, as the planners are often faced with large combinatorial problems that are notoriously hard to solve there is a great potential in implementing optimising decision support systems. The research presented in this licentiate thesis aims at developing and examining mathematical models and methods that could be part of such support systems. The thesis focuses on two planning problems in particular, and the presented methods have been developed especially for the Swedish railway system. First of all, a model for optimising a train timetable with respect to robustness is presented. The model tries to increase the number of alternative meeting locations that can be used in a disturbed traffic situation and has an execution time of less than 5 minutes when solving the problem for the track section between Boden and Vännäs. Secondly, the problem of generating efficient classification bowl schedules for shunting yards is examined. The aim is to find the track allocation that minimises the number of required shunting movements while still respecting all operational, physical and time constraints imposed by the yard. Three optimisation models are presented, and simple planning rules are also investigated. The methods are tested on historic data from Hallsberg, the largest shunting yard in Sweden, and the results show that while the simple planning rules are not adequate for planning the classification bowl, two of the optimisation models consistently return an optimal solution within an acceptable execution time.

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Ahciarliu, Cantemir M. "Multi-agent architecture for integrating remote databases and expert sources with situational awareness tools : humanitarian operations scenario /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FAhciarliu.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2004.
Thesis advisor(s): Alex Bordetsky, Glenn Cook. Includes bibliographical references (p. 77-79). Also available online.

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Gaylin, Kenneth B. "An investigation of information display variables utilizing computer-generated graphics for decision support systems." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53070.

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The effectiveness of selected computer-generated graphics display variables was examined in a mixed-factors factorial experiment using thirty-two subjects. All subjects performed four different graph reading tasks consisting of point-reading, point-comparison, trendreading, and trend-comparison. In each task, line, point, bar, and three-dimensional bar graphs were investigated under two levels of task complexity, and two levels of coding (color and black-and-white). The effects of these independent variables on measures of task performance errors, time to complete the task, subjective mental workload, and preference ratings were obtained in real-time by a microcomputer control program. Separate MANOVA analyses of these measures for each task indicated significant effects of graph-type for the point—reading task, main effects of complexity and coding for all tasks, and a graph-by—coding interaction for the point-reading, point-comparison, and trend-reading tasks. Subsequent ANOVA analyses showed significance for these effects across several of the dependent measures which are specified in the thesis. Recommendations are made for selecting the most effective graph and coding combinations for the particular types of graph-interpretation tasks and complexity levels encountered.
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Lindgren, Helena. "Decision support in dementia care : developing systems for interactive reasoning." Doctoral thesis, Umeå : Datavetenskap Computing Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1138.

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Missakian, Mario Sarkis. "Automated Support for Model Selection Using Analytic Hierarchy Process." NSUWorks, 2011. http://nsuworks.nova.edu/gscis_etd/249.

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Providing automated support for model selection is a significant research challenge in model management. Organizations maintain vast growing repositories of analytical models, typically in the form of spreadsheets. Effective reuse of these models could result in significant cost savings and improvements in productivity. However, in practice, model reuse is severely limited by two main challenges: (1) lack of relevant information about the models maintained in the repository, and (2) lack of end user knowledge that prevents them from selecting appropriate models for a given problem solving task. This study built on the existing model management literature to address these research challenges. First, this research captured the relevant meta-information about the models. Next, it identified the features based on which models are selected. Finally, it used Analytic Hierarchy Process (AHP) to select the most appropriate model for any specified problem. AHP is an established method for multi-criteria decision-making that is suitable for the model selection task. To evaluate the proposed method for automated model selection, this study developed a simulated prototype system that implemented this method and tested it in two realistic end-user model selection scenarios based on previously benchmarked test problems.

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Emery, Jonathan D. "The development and evaluation of computer support for cancer genetic advice in primary care." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342588.

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Liou, Yihwa Irene. "The use of a group decision support system environment for knowledge acquisition." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184717.

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Knowledge acquisition is not only the most important but also most difficult task knowledge engineers face when they begin to develop expert systems. One of the first problems they encounter is the need to identify at least one individual with appropriate expertise who is able and willing to participate in the development project. They must also be able to use a variety of techniques to elicit the knowledge that they require. These include such traditional knowledge acquisition methods as interviewing, thinking-aloud protocol analysis, on-site observation, and repertory grid analysis. As expert system applications have become more complex, knowledge engineers have found that they must work with and tap the domain knowledge of not one but several individuals. They have also discovered that the traditional methods do not work well in eliciting the knowledge residing in a group of individuals. The complexity of the systems, the difficulties inherent in working with multiple experts, and the lack of appropriate tools have combined to make the knowledge acquisition task even more arduous and time consuming. Group Decision Support Systems (GDSS) have been proven to be useful tools for improving the efficiency and effectiveness of a multiplicity of group activities. It would appear that by bringing experts together in a GDSS environment and using computer-based tools to facilitate group interaction and information exchange, a knowledge engineer could eliminate many of these problems. This research was designed to explore the possibility of using a GDSS environment to facilitate knowledge acquisition from multiple experts. The primary research question was "Does A GDSS environment facilitate the acquisition of knowledge from multiple experts?" The principle contributions of this research are (1) demonstration of the first use of a GDSS environment to elicit knowledge from multiple experts; (2) establishment of a methodology for knowledge acquisition in a GDSS environment; (3) development of process models for acquiring knowledge; (4) development of guidelines for designing and evaluating group support tools; and (5) recognition of some implications of using a computer-supported cooperative approach to extract knowledge from a group of experts. (Abstract shortened with permission of author.)

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Tarnoff, David Lee. "A decision support tool for preliminary system design." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10312009-020108/.

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Liu, Kung-Chao. "Information system development and the use of electronic meeting systems." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185439.

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Information system requirements determination is a key area in management information systems research that includes the problems of requirements specification, requirements elicitation, and user involvement. The combination of these three problems is a research area which we call the group approach to information system requirements determination. The main contribution of this research is a model to be used for the problem of fitting existing computer aids to this research area and a set of methods for solving the usability and configuration problems when using such computer aids. The usability problem is that of determining whether a set of computer aids can be used effectively in accomplishing the task of requirements determination. The configuration problem is that of selecting a minimum collection of funtionalities necessary for economically supporting all aspects of requirements determination. Electronic meeting systems are the general category of computer aids that we are interested in applying to the task. In particular, the GroupSystems electronic meeting system developed at The University of Arizona is used as a case in this research. Characteristics of the requirements determination task and profiles of GroupSystems tools are combined into our model for fitting computer aids to a given task. We then derive the answers regarding the usability and configuration of GroupSystems in the group approach to information system requirements determination. We also compare the derived configurations to the GroupSystems tools used in an authentic case. The main points of this research include: (1) proposal of the concept of fitting computer aids to, instead of developing new computer aids for, a task area; (2) proposal of a model for fitting computer aids via a classification of information types; (3) analysis of the natures of the fitting model and the usability and configuration problems; (4) proposal of approximation methods for solving the configuration problem; (5) analysis of the task area--the group approach to information system requirements determination; (6) analysis of the use of GroupSystems in the task area by applying the proposed fitting model and approximation methods; and (7) demonstration of the usefulness of the fitting model and approximation methods by analyzing an authentic case of using GroupSystems tools.

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PARK, SEUNG YIL. "A GENERALIZED INTELLIGENT PROBLEM SOLVING SYSTEM BASED ON A RELATIONAL MODEL FOR KNOWLEDGE REPRESENTATION (SUPPORT SYSTEMS, EXPERT, DECISION AIDS)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183779.

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Over the past decade, two types of decision aids, i.e., decision support systems (DSS) and expert systems (ES), have been developed along parallel paths, showing some significant differences in their software architectures, capabilities, limitations, and other characteristics. The synergy of DSS and ES, however, has great potential for helping make possible a generalized approach to developing a decision aid that is powerful, intelligent, and friendly. This research establishes a framework for such decision aids in order to determine the elementary components and their interactions. Based on this framework, a generalized intelligent problem solving system (GIPSS) is deveolped as a decision aid generator. A relational model is designed to provide a unified logical view of each type of knowledge including factual data, modeling knowledge, and heuristic rules. In this knowledge model, a currently existing relational DBMS, with some extension, is utilized to manage each type of knowledge. For this purpose a relational resolution inference mechanism has been devised. A prototype GIPSS has been developed based on this framework. Two domain specific decision aids, COCOMO which estimates software development effort and cost, and CAPO which finds optimal process organization, have been implemented by using the GIPSS as a decision aid generator, demonstrating such features as its dynamic modeling capabilities and learning capabilities.

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Yi, Shi. "Virtual organization based distributed environmental spatial decision support systems applications in watershed management /." Diss., Connect to online resource - MSU authorized users, 2008.

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Woofter, Christopher L. "Environmental compliance in quarrying operations : a computer-based decision support system /." This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-02132009-171056/.

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Toufanpanah, Monir. "Decision Support framework: Reliable Federated Single Sign-on." Thesis, Luleå tekniska universitet, Datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-62594.

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Identity management is a critical concept for enterprises, and it has turned to more challenging issue since businesses are significantly moving towards service oriented architecture (SOA) with the aim to provide seamless service delivery to their customers, partners and employees. The organizational domains are expanded to blur the virtual borders, simplify the business collaboration and maximize opportunities in the competitive market place, which explicitly shows the essentiality for federating the identities. Real-world identity comprises of different dimensions such as Law, Business, Policy, Technology and Society, therefore reliable digital identity management and successful federation are required to take these dimensions and complexity into consideration. Considering variety of academic and industrial researches that report on remarkable demands for identity federation adoption by enterprises, this study has approached federated Identity Management from technological point of view. Technologies provide tools and mechanisms to satisfy the business requirements and enable single sign-on capability in reliable federated platform. Different authentication technologies and standards have emerged to enable federated single sign-on (FSSO) implementation as a core service of the FIdM, each with different features and capabilities. This brings more complexity and confusion for experts and decision makers for FIdM adoption and development. To overcome this obstacle and accelerate the data collection and analysis process for decision makers, this research contributes to the filed by providing a conceptual framework to simplify the analysis of underlying technology for decision making process. In this framework 1) a list of state-of-the-art requirements and mechanisms for successful identity federation and reliable SSO is elaborated, 2) Six most prevalent standard authentication technologies along with latest specifications are analysed, explained and assessed against the defined criteria, and 3) several security and privacy consideration are gathered. The usage of framework is monitored and the efficiency of it is evaluated in 2 real business case scenarios by five IT experts and the result is reported.

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Henricsson, Marcus. "Interface Design for Decision Support Systems: A Case Study of a Sales Performance Management Tool." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-31919.

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In this thesis a case study is presented, which explored what structural and visual aspects of a sales performance management tool's user interface that generated most recurrent problems for novice users. The purpose of the case study was to investigate if identified problems related to structural and visual aspects could help improve the current user interface of the sales performance management tool. In order to investigate these objectives was evaluation research conducted, this in the form of five direct user observations, which adopted the think aloud protocol. Qualitative data obtained from the observational study were analyzed using thematic analysis, which helped identify recurring themes within the data. The results from the case study indicate that it is possible to reveal structural and visual problems within a user interface with novice users, this through using the direct observation technique with the think aloud protocol. Problems identified in the observational study showed to be rather superficial, which indicate that evaluating a user interface with novice users has its limitations. Evident from the case study was that all novice users either found or encountered some problems related to structural and visual aspects. Moreover, the results from the case study indicates that evaluating a user interface with novice users can help improve a system's user interface. However, the improvements are likely to be incremental and not radical.

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Seddon, Jonathan Jeremy Marcus. "FASMA : an anthropocentric decision support system for maintenance management." Thesis, Brunel University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302771.

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FISHER, GARY LEE. "A SOFTWARE ARCHITECTURE FOR STRATEGIC MANAGEMENT SUPPORT SYSTEMS UTILIZING INTERACTIVE GRAPHICS (STAKEHOLDER, REUSABLE CODE, GROUP DECISION SUPPORT)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183818.

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A software architecture for strategic-management support-systems is developed, with an underlying principle that new additions to the library of planning tools in such support systems should not have to be new programming efforts. The current status of group decision support is surveyed and the lack of a software architecture for such systems is noted. The software architecture that has been developed is intended to guide the development of such support systems and is based on a library of procedural abstractions called elemental-engines. Selected sets of elemental-engines are assembled into synthesized support drivers which support an even higher level of abstraction, that of the generic logic supporting a family of planning tools. Thus, a family of planning tools may be expanded by the simple creation of text files, containing the dialog of the new tool. The work looks first at the nature of strategic management decision-making, then to work done in group decision support systems. A framework for software development, particularly in the area of list-processing is presented. A data structure to support such list processing is developed and discussed. An example of the software architecture is presented via the code for the initial planning-tool developed. This code was then generalized into the library of elemental-engines and a set of synthesized support drivers. This library of planning-tools, built around the architecture is described, and the use of the tools in a planning session is evaluated. Some possible extensions with respect to a decision laboratory are suggested. The laboratory incorporates features developed in the evolution of using computers to support human decision-making, with software written according to the architecture presented.

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喬繼明 and Jiming Qiao. "Towards the development of a component-based urban planning support system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31240914.

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Fay, John J. "Transforming fleet network operations with collaborative decision support and augmented reality technologies." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FFay.pdf.

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Aggarwal, Ajay K. "On developing an expert system : a knowledge base for GP formulation and analysis /." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07132007-143148/.

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Paris, Deidre Eileen. "A residential satisfaction decision support system for affordable housing." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/23395.

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Dissertations / Theses on the topic 'Computer decision support systems'

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