Dissertations / Theses on the topic 'Decision support systems Australia'
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Robinson, Jeffrey Brett, University of Western Sydney, of Science Technology and Environment College, and School of Environment and Agriculture. "Understanding and applying decision support systems in Australian farming systems research." THESIS_CSTE_EAG_Robinson_J.xml, 2005. http://handle.uws.edu.au:8081/1959.7/642.
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Decision support systems (DSS) are usually based on computerised models of biophysical and economic systems. Despite early expectations that such models would inform and improve management, adoption rates have been low, and implementation of DSS is now “critical” The reasons for this are unclear and the aim of this study is to learn to better design, develop and apply DSS in farming systems research (FSR). Previous studies have explored the merits of quantitative tools including DSS, and suggested changes leading to greater impact. In Australia, the changes advocated have been: Simple, flexible, low cost economic tools: Emphasis on farmer learning through soft systems approaches: Understanding the socio-cultural contexts of using and developing DSS: Farmer and researcher co-learning from simulation modelling and Increasing user participation in DSS design and implementation. Twenty-four simple criteria were distilled from these studies, and their usefulness in guiding the development and application of DSS were assessed in six FSR case studies. The case studies were also used to better understand farmer learning through models of decision making and learning. To make DSS useful complements to farmers’ existing decision-making repertoires, they should be based on: (i) a decision-oriented development process, (ii) identifying a motivated and committed audience, (iii) a thorough understanding of the decision-makers context, (iv) using learning as the yardstick of success, and (v) understanding the contrasts, contradictions and conflicts between researcher and farmer decision culturesDoctor of Philosophy (PhD)
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Barton, John Edward Built Environment Faculty of Built Environment UNSW. "A spatial decision support system for the management of public housing." Awarded by:University of New South Wales, 2007. http://handle.unsw.edu.au/1959.4/35209.
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Purnomo, Deavi. "Developing collaborative planning support tools for optimised farming in Western Australia." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/2295.
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Land-use (farm) planning is a highly complex and dynamic process. A land-use plan can be optimal at one point in time, but its currency can change quickly due to the dynamic nature of the variables driving the land-use decision-making process. These include external drivers such as weather and produce markets, that also interact with the biophysical interactions and management activities of crop production.The active environment of an annual farm planning process can be envisioned as being cone-like. At the beginning of the sowing year, the number of options open to the manager is huge, although uncertainty is high due to the inability to foresee future weather and market conditions. As the production year reveals itself, the uncertainties around weather and markets become more certain, as does the impact of weather and management activities on future production levels. This restricts the number of alternative management options available to the farm manager. Moreover, every decision made, such as crop type sown in a paddock, will constrains the range of management activities possible in that paddock for the rest of the growing season.This research has developed a prototype Land-use Decision Support System (LUDSS) to aid farm managers in their tactical farm management decision making. The prototype applies an innovative approach that mimics the way in which a farm manager and/or consultant would search for optimal solutions at a whole-farm level. This model captured the range of possible management activities available to the manager and the impact that both external (to the farm) and internal drivers have on crop production and the environment. It also captured the risk and uncertainty found in the decision space.The developed prototype is based on a Multiple Objective Decision-making (MODM) - á Posteriori approach incorporating an Exhaustive Search method. The objective set used for the model is: maximising profit and minimising environmental impact. Pareto optimisation theory was chosen as the method to select the optimal solution and a Monte Carlo simulator is integrated into the prototype to incorporate the dynamic nature of the farm decision making process. The prototype has a user-friendly front and back end to allow farmers to input data, drive the application and extract information easily.
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Mackrell, Dale Carolyn, and n/a. "Women as Farm Partners: Agricultural Decision Support Systems in the Australian Cotton Industry." Griffith University. Griffith Business School, 2006. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070305.131533.
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Australian farmers are supplementing traditional practices with innovative strategies in an effort to survive recent economic, environmental, and social crises in the rural sector. These innovative strategies include moving towards a technology-based farm management style. A review of past literature determines that, despite a growing awareness of the usefulness of computers for farm management, there is concern over the limited demand for computer-based agricultural decision support systems (DSS). Recent literature indicates that women are the dominant users of computers on family farms yet are hesitant to use computers for decision support, and it is also unclear what decision-making roles women assume on family farms. While past research has investigated the roles of women in the Australian rural sector, there is a dearth of research into the interaction of women cotton growers with computers. Therefore, this dissertation is an ontological study and aims to contribute to scholarly knowledge in the research domain of Australian women cotton growers, agricultural DSS, and cotton farm management. This dissertation belongs in the Information Systems (IS) stream and describes an interpretive single case study which explores the lives of Australian women cotton growers on family farms and the association of an agricultural DSS with their farm management roles. Data collection was predominantly through semi-structured interviews with women cotton growers and cotton industry professionals such as DSS developers, rural extension officers, researchers and educators, rural experimental scientists, and agronomists and consultants, all of whom advise cotton growers. The study was informed by multiple sociological theories with opposing paradigmatic assumptions: Giddens' (1984) structuration theory as a metatheory to explore the recursiveness of farm life and technology usage; Rogers' (1995) diffusion of innovations theory with a functionalist approach to objectively examine the features of the software and user, as well as the processes of technology adoption; and Connell's (2002) theory of gender relations with its radical humanist perspective to subjectively investigate the relationships between farm partners through critical enquiry. The study was enriched further by drawing on other writings of these authors (Connell 1987; Giddens 2001; Rogers 2003) as well as complementary theories by authors (Orlikowski 1992; Orlikowski 2000; Trauth 2002; Vanclay & Lawrence 1995). These theories in combination have not been used before, which is a theoretical contribution of the study. The agricultural DSS for the study was CottonLOGIC, an advanced farm management tool to aid the management of cotton production. It was developed in the late 1990s by the CSIRO and the Australian Cotton Cooperative Research Centre (CRC), with support from the Cotton Research and Development Corporation (CRDC). CottonLOGIC is a software package of decision support and record-keeping modules to assist cotton growers and their advisors in the management of cotton pests, soil nutrition, and farm operations. It enables the recording and reporting of crop inputs and yields, insect populations (heliothis, tipworm, mirids and so on), weather data, and field operations such as fertiliser and pesticide applications, as well as the running of insect density prediction (heliothis and mites) and soil nutrition models. The study found that innovative practices and sustainable solutions are an imperative in cotton farm management for generating an improved triple bottom line of economic, environmental and social outcomes. CottonLOGIC is an industry benchmark for supporting these values through the incorporation of Best Management Practices (BMP) and Integrated Pest Management (IPM) principles, although there were indications that the software is in need of restructuring as could be expected of software over five years old. The evidence from the study was that women growers are participants in strategic farm decisions but less so in operational decisions, partly due to their lack of relevant agronomic knowledge. This hindered their use of CottonLOGIC, despite creative attempts to modify it. The study endorsed the existence of gender differences and inequalities in rural Australia. Nevertheless, the study also found that the women are valued for their roles as business partners in the multidisciplinary nature of farm management. All the same, there was evidence that greater collaboration and cooperation by farm partners and advisors would improve business outcomes. On the whole, however, women cotton growers are not passive agents but take responsibility for their own futures. In particular, DSS tools such as CottonLOGIC are instrumental in enabling women cotton growers to adapt to, challenge, and influence farm management practices in the family farm enterprise, just as CottonLOGIC is itself shaped and reshaped. Hence, a practical contribution of this study is to provide non-prescriptive guidelines for the improved adoption of agricultural DSS, particularly by rural women, as well as increasing awareness of the worth of their roles as family farm business partners.
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Gudes, Ori. "Developing a framework for planning healthy communities : the Logan Beaudesert health decision support system." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/50783/1/Ori_Gudes_Thesis.pdf.
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In the last few decades, the focus on building healthy communities has grown significantly (Ashton, 2009). There is growing evidence that new approaches to planning are required to address the challenges faced by contemporary communities. These approaches need to be based on timely access to local information and collaborative planning processes (Murray, 2006; Scotch & Parmanto, 2006; Ashton, 2009; Kazda et al., 2009). However, there is little research to inform the methods that can support this type of responsive, local, collaborative and consultative health planning (Northridge et al., 2003). Some research justifies the use of decision support systems (DSS) as a tool to support planning for healthy communities. DSS have been found to increase collaboration between stakeholders and communities, improve the accuracy and quality of the decision-making process, and improve the availability of data and information for health decision-makers (Nobre et al., 1997; Cromley & McLafferty, 2002; Waring et al., 2005). Geographic information systems (GIS) have been suggested as an innovative method by which to implement DSS because they promote new ways of thinking about evidence and facilitate a broader understanding of communities. Furthermore, literature has indicated that online environments can have a positive impact on decision-making by enabling access to information by a broader audience (Kingston et al., 2001). However, only limited research has examined the implementation and impact of online DSS in the health planning field. Previous studies have emphasised the lack of effective information management systems and an absence of frameworks to guide the way in which information is used to promote informed decisions in health planning. It has become imperative to develop innovative approaches, frameworks and methods to support health planning. Thus, to address these identified gaps in the knowledge, this study aims to develop a conceptual planning framework for creating healthy communities and examine the impact of DSS in the Logan Beaudesert area. Specifically, the study aims to identify the key elements and domains of information that are needed to develop healthy communities, to develop a conceptual planning framework for creating healthy communities, to collaboratively develop and implement an online GIS-based Health DSS (i.e., HDSS), and to examine the impact of the HDSS on local decision-making processes. The study is based on a real-world case study of a community-based initiative that was established to improve public health outcomes and promote new ways of addressing chronic disease. The study involved the development of an online GIS-based health decision support system (HDSS), which was applied in the Logan Beaudesert region of Queensland, Australia. A planning framework was developed to account for the way in which information could be organised to contribute to a healthy community. The decision support system was developed within a unique settings-based initiative Logan Beaudesert Health Coalition (LBHC) designed to plan and improve the health capacity of Logan Beaudesert area in Queensland, Australia. This setting provided a suitable platform to apply a participatory research design to the development and implementation of the HDSS. Therefore, the HDSS was a pilot study examined the impact of this collaborative process, and the subsequent implementation of the HDSS on the way decision-making was perceived across the LBHC. As for the method, based on a systematic literature review, a comprehensive planning framework for creating healthy communities has been developed. This was followed by using a mixed method design, data were collected through both qualitative and quantitative methods. Specifically, data were collected by adopting a participatory action research (PAR) approach (i.e., PAR intervention) that informed the development and conceptualisation of the HDSS. A pre- and post-design was then used to determine the impact of the HDSS on decision-making. The findings of this study revealed a meaningful framework for organising information to guide planning for healthy communities. This conceptual framework provided a comprehensive system within which to organise existing data. The PAR process was useful in engaging stakeholders and decision-making in the development and implementation of the online GIS-based DSS. Through three PAR cycles, this study resulted in heightened awareness of online GIS-based DSS and openness to its implementation. It resulted in the development of a tailored system (i.e., HDSS) that addressed the local information and planning needs of the LBHC. In addition, the implementation of the DSS resulted in improved decision- making and greater satisfaction with decisions within the LBHC. For example, the study illustrated the culture in which decisions were made before and after the PAR intervention and what improvements have been observed after the application of the HDSS. In general, the findings indicated that decision-making processes are not merely informed (consequent of using the HDSS tool), but they also enhance the overall sense of ‗collaboration‘ in the health planning practice. For example, it was found that PAR intervention had a positive impact on the way decisions were made. The study revealed important features of the HDSS development and implementation process that will contribute to future research. Thus, the overall findings suggest that the HDSS is an effective tool, which would play an important role in the future for significantly improving the health planning practice.
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Mohammad, Alamgir Hossain. "Adoption, continued, and extended use of radio frequency identification (RFID) technology : Australian Livestock Industry." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1766.
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In general, the adoption and diffusion of Information Systems (IS) in agriculture industry is a neglected issue in academia, let alone the livestock sector. In livestock industry, Radio Frequency Identification (RFID) technology is currently used in order to ensure meat safety. Generally, the livestock supply chain involves a large number of people and organisations/farms. To ensure a successful animal-tracing system, the examination of the adoption behaviour of those stakeholders is worthwhile. So far, no initiative has been made by the researchers to investigate the adoption process and relevant factors in a livestock setting. This research aims to close this research-gap. Furthermore, the ultimate success of an innovation is dependent not just on the adoption but on its continued and extended use. Scholars have been investigating on adoption and continuance behaviour of an innovation but not in an integrated fashion.This current research has studied both the adoption and continued and extended usage behaviour of Australian livestock industry regarding RFID technology in a single framework. Moreover, the extension decision of an innovation is a continuous and complex process. It is not easy for farms to identify a correct extension application from many possibilities. As has not been done yet a Decision Support System (DSS), which is based on Analytical Hierarchy Process (AHP), is developed in this research aiming to aid farms to choose the best extension-project.It is assumed that the adoption factors in a mandatory environment would be different than that of in a voluntary environment. In literature, it is very rare to find a comparative study of the adoption factors of a single innovation in both voluntary and mandatory environments. This research studied the both environments.This research adopted the ‘mixed method’ methodology. Face-to-face direct interview with semi-structured questionnaire has been used for the collection of qualitative data. Data obtained from the field study have been analysed using NVivo software package. On the other hand, Partial Least Square (PLS)-based Structural Equation Modelling (SEM) technique has been used for analysing the quantitative data obtained from a national survey on the variables identified earlier from the qualitative method.The findings of this research confirmed that environmental factors, organisational factors, and technological factors influence the adoption of RFID technology in livestock industry. The continued use and extended use of RFID systems are dependent on satisfaction obtained from using the current system. Moreover, confirmation bridges the adoption and continuance; this is the stage which influences the further-use of an innovation after being adopted.This current research has both theoretical and practical implications. Investigating the adoption factors along with continued and extended use factors in a single framework is a unique initiative by far in literature. This research strengthens the adoption-diffusion research of IS by getting insights from the livestock sector. Using the factors and variables, obtained from the research to develop a practical decision making process (i.e., the DSS) is innovative. As practical implications, governments and other organisations that have the power to make an industry to adopt an innovation should consider the findings of this study for efficient policy development and implementation. Similarly, the innovation-vendors/manufacturers may look at the derived factors for a successful acceptance of an innovation. Finally, the DSS does have the merit to be made more extensive and used at farm level in order to assist the farm decision-makers to choose their extension projects.
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Amein, Hussein Aly Abbass. "Computational intelligence techniques for decision making : with applications to the dairy industry." Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/36867/1/36867_Digitised%20Thesis.pdf.
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Hodges, S. Lesley. "Electronic meeting systems – what they are and how they could benefit Australian government organisations." Thesis, Canberra, ACT : The Australian National University, 2011. http://hdl.handle.net/1885/7178.
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Meetings are very important in any organisation and the Australian public service is no exception. Unfortunately, meetings are costly and time consuming, and often are ineffective and inefficient. Participants are regularly left with feelings of dissatisfaction after the meeting.
Electronic meeting systems (EMS) were first developed in the United States in the 1980s to make meetings more effective and efficient. They are now more user-friendly, internet-connected and support multimedia. However, EMS have not been adopted to the extent that could be expected.
This study draws from an extensive literature review supplemented by three case studies of Australian companies that provide EMS products and services (Global Learning Pty Ltd, Grouputer Pty Ltd and Zing Technologies Pty Ltd).
The study provides answers to six questions:
• What are electronic meeting systems (EMS)?
• What is the evidence that using an EMS does improve meeting productivity (efficiency and effectiveness) and satisfaction?
• Are there other benefits from using these systems?
• How does the use of an EMS bring about these improvements in meetings and group collaboration?
• What factors need to be managed in order for the organisation to obtain the most benefit from these systems?
• Could EMS be used to improve meetings and business processes in Australian (including state/territory) government organisations?
The study concluded that EMS could be used to great benefit to improve meetings and their outcomes for an enormous range of tasks that are carried out in all levels in the Australian public sector. EMS have successfully supported meeting sizes from two people to 700, and an even larger number of participants is possible.
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Alkarouri, Muhammad Abdulmuneim. "Distributed decision support systems." Thesis, University of Sheffield, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555644.
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Decision support systems are a class of computer based systems that assist in some or all levels of decision making within an organisation. Recently, the growth of data captured that is useful or even critical to the successful running or conclusion of projects in science and industry has been remarkable. Thus, the development of decision support systems that are scalable in terms of the size of data processed. the number of stakeholders, and their geographical span has become of the essence. This thesis identifies the issues in developing distributed decision support systems. Building on that. an architectural style for the development of scalable and extensible software systems is introduced. Subsequently, a framework for the design of distributed decision support systems is developed. This new architectural style is the Resource Oriented Services Architecture (ROSA). It builds on Representational State Transfer (REST), an architectural style that describes the venerable design of the world wide web. An architectural design based on REST revolves around resources, representations, and hyperlinks. \Vhat it lacks is a standardised way to represent computations as resources in a scalable and extensible manner. For systems that cannot be adequately described as a web of documents, this is a shortcoming. ROSA overcomes this by defining a means of representing executable resources in a manner that is consistent with the statelessness and cacheability constraints of REST. The resulting architecture enables the scalability of the system. Additionally, desirable features such as dynamic discovery of resources and extensibility and loose coupling are attained. To illustrate this framework, two new learning algorithms are introduced and implemented as services. The first is a data structure suitable for proximity queries over large datasets of low intrinsic dimension. The other uses a random projection to carry out novelty detection over high dimensional datasets.
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Sandhu, Raghbir Singh. "Intelligent spatial decision support systems." Thesis, University College London (University of London), 1998. http://discovery.ucl.ac.uk/1317911/.
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This thesis investigates the conceptual and methodological issues for the development of Intelligent Spatial Decision Support Systems (ISDSS). These are spatial decision support systems (SDSS) integrating intelligent systems techniques (Genetic Algorithms, Neural Networks, Expert Systems, Fuzzy Logic and Nonlinear methods) with traditional modelling and statistical methods for the analysis of spatial problems. The principal aim of this work is to verify the feasibility of heterogeneous systems for spatial decision support derived from a combination of traditional numerical techniques and intelligent techniques in order to provide superior performance and functionality to that achieved through the use of traditional methods alone. This thesis is composed of four distinct sections: (i) a taxonomy covering the employment of intelligent systems techniques in specific applications of geographical information systems and SDSS; (ii) the development of a prototype ISDSS; (iii) application of the prototype ISDSS to modelling the spatiotemporal dynamics of high technology industry in the South-East of England; and (iv) the development of ISDSS architectures utilising interapplication communication techniques. Existing approaches for implementing modelling tools within SDSS and GIS generally fall into one of two schemes - loose coupling or tight coupling - both of which involve a tradeoff between generality and speed of data interchange. In addition, these schemes offer little use of distributed processing resources. A prototype ISDSS was developed in collaboration with KPMG Peat Marwick's High Technology Practice as a general purpose spatiotemporal analysis tool with particular regard to modelling high technology industry. The GeoAnalyser system furnishes the user with animation and time plotting tools for observing spatiotemporal dynamics; such tools are typically not found in existing SDSS or GIS. Furthermore, GeoAnalyser employs the client/server model of distributed computing to link the front end client application with the back end modelling component contained within the server application. GeoAnalyser demonstrates a hybrid approach to spatial problem solving - the application utilises a nonlinear model for the temporal evolution of spatial variables and a genetic algorithm for calibrating the model in order to establish a good fit for the dataset under investigation. Several novel architectures are proposed for ISDSS based on existing distributed systems technologies. These architectures are assessed in terms of user interface, data and functional integration. Implementation issues are also discussed. The research contributions of this work are four-fold: (i) it lays the foundation for ISDSS as a distinct type of system for spatial decision support by examining the user interface, performance and methodological requirements of such systems; (ii) it explores a new approach for linking modelling techniques and SDSS; (iii) it investigates the possibility of modelling high technology industry; and (iv) it details novel architectures for ISDSS based on distributed systems.
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Argile, Andrew Duncan Stuart. "Distributed processing in decision support systems." Thesis, Nottingham Trent University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259647.
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Woerlee, Auke Peter. "Decision support systems of production scheduling /." Rotterdam : Erasmus universiteit, 1991. http://catalogue.bnf.fr/ark:/12148/cb37438055v.
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Proefschrift--Rotterdam--Erasmus universiteit, 1991.Mention parallèle de titre ou de responsabilité : Beslissingsondersteunende systemen voor korte termijn produktieplanning. Résumé en néerlandais, 4 p. Ill. par l'auteur. Bibliogr. p. 151-165. Index.
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Hodgkin, Julie. "Provision of intelligent user support in decision support systems." Thesis, University of Strathclyde, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366908.
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Kubik, Charles Paul. "Using commercial aviation information systems in operational support airlift decision support systems." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1397.
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Approved for public release; distribution is unlimitedscheduling solutions for routing aircraft, crews and logistical support needed to successfully operate in this new environment. The opportunity exists for the DoD's private aircraft operation, the Joint Operational Support Airlift Center (JOSAC), to utilize some of the same system features used in commercial operations such as NetJets to improve operations. This thesis will analyze the use of commercial air operator strategies and DSS's to be used in JOSAC to improve operational effectiveness. It will look to add new capabilities and processes used in commercial DSS's along with the implementation of the disruptive technology, microjets. Some of the potential benefits include improved operational performance, solutions to scheduling inefficiencies and improved mission readiness. With these improvements the potential for a military microjet operation in the future is a real possibility.
1st Lieutenant, United States Air Force
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Randall, Todd Andrew. "Decision support for suburban retrofitting /." *McMaster only, 2001.
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Van, Dyk Theron Van Zyl. "Decision support systems for solving discrete multicriteria decision making problems." Master's thesis, University of Cape Town, 1992. http://hdl.handle.net/11427/14300.
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Includes bibliography.The aim of this study was the design and implementation of an interactive decision support system, assisting a single decision maker in reaching a satisfactory decision when faced by a multicriteria decision making problem. There are clearly two components involved in designing such a system, namely the concept of decision support systems (DSS) and the area of multicriteria decision making (MCDM). The multicriteria decision making environment as well as the definitions of the multicriteria decision making concepts used, are discussed in chapter 1. Chapter 2 gives a brief historical review on MCDM, highlighting the origins of some of the more well-known methods for solving MCDM problems. A detailed discussion of interactive decision making is also given. Chapter 3 is concerned with the DSS concept, including a historical review thereof, a framework for the design of a DSS, various development approaches as well as the components constituting a decision support system. In chapter 4, the possibility of integrating the two concepts, MCDM and DSS, are discussed. A detailed discussion of various methodologies for solving MCDM problems is given in chapter 5. Specific attention is given to identifying the methodologies to be implemented in the DSS. Chapter 6 can be seen as a theoretical description of the system developed, while Chapter 7 is concerned with the evaluation procedures used for testing the system. A final summary and concluding remarks are given in Chapter 8.
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Goeller, Dale Wellington. "Spreadsheet techniques for logistics decision support systems /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA271846.
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Guo, Yufeng. "Decision support systems for airline crew recovery." [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=976568284.
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Cameron, Mark A., and Mark Cameron@csiro au. "A Problem Model for Decision Support Systems." The Australian National University. Faculty of Engineering and Information Technology, 2000. http://thesis.anu.edu.au./public/adt-ANU20020717.144031.
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This body of research focuses on supporting problem-stakeholders, decision-makers and
problem-solvers faced with an ill-defined and complex real world problem. An ill-defined
problem has a characteristic trait of continual refinement. That is, the definition
of the problem changes throughout the problem investigation and resolution process.
The central theme of this research is that a support system should provide problem
stakeholders with a problem definition model for constructing and manipulating a
representation of the definition of the problem as they understand it. The approach
adopted herein is to first develop a problem definition model for ill-defined problems
the 6-Component problem definition model. With this model, it is then possible to move
on to identifying the types of changes or modifications to the problem definition that
problem stakeholders, decision makers and problem solvers may wish to explore.
Importantly, there must be a connection between the surface representation of the
problem and the underlying implementation of the support system. This research argues
that by focusing the support system around the problem definition, it is possible to
reduce the mismatch between the problem objectives and the representation of the
problem that the support system offers. This research uses the Unified Modelling
Language to record and explore the requirements that problem stakeholders, faced with
an evolving problem definition, place on a support system. The 6-Component problem
definition model is then embedded within a design for an evolutionary support system.
This embedding, supported by collaboration diagrams, shows how a system using the
6-Component problem definition model will support stakeholders in their exploration,
evaluation and resolution of an ill-defined and complex real-world problem. A case
study provides validation of the effectiveness of the 6-Component problem definition
model proposed and developed in this work. The case study uses the 6-Component
problem definition model as a basis for implementing the Integration Workbench, an
evolutionary support system for land-use planning. Stakeholders explore, communicate,
evaluate and resolve the Tasmanian Regional Forest Agreement problem with
assistance from the Integration Workbench.
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Suen, Fun-sing, and 孫奮生. "Decision support systems for real estate evaluation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31257021.
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何燦恒。 and Tsan-hang Ho. "Decision support systems in business management games." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31220915.
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Tzavaras, Aris. "Intelligent decision support systems in ventilation management." Thesis, City University London, 2009. http://openaccess.city.ac.uk/12084/.
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Introduction: Intensive Care Unit (ICU) medical personnel, in an ongoing process termed ventilation management, utilize patient physiology and pathology data to define ventilator apparatus settings. Aims: The aim of the research is to develop and evaluate in comparison hybrid ventilation advisor systems, that could support ventilation management process, specific to lung pathology for patients ventilated in control mode. Methodology: A questionnaire was designed and circulated to Intensivists. Patient data, as defined by the questionnaire analysis, were collected and categorized into three lung pathologies. Three ICU doctors evaluated correlation analysis of the recorded data. Evaluation results were used for identifying models basic architecture. Two custom software toolboxes were developed for developing hybrid systems; namely the EVolution Of Fuzzy INference Engines (EVOFINE) and the FUzzy Neural (FUN) toolbox. Eight hybrid systems developed with EVOFINE, FUN, ANFIS and ANN techniques were evaluated against applied clinical decisions and patient scenarios. Results: Seventeen (17) models were designed for each of the eight (8) modeling techniques. The modelled process consisted of twelve physiology variables and six ventilator settings. The number of models’ inputs ranged from single to six based on correlation and evaluation findings. Evaluation against clinical recommendations has shown that ANNs performed better; mean average error as percentage for four of the applied techniques was 0.16%, 1.29% & 0.62 for ANN empirical, 0.05%, 2.23% & 2.30% for ANFIS, 0.93%, 2.33% & 1.89% for EVOFINE and 0.73%, 2.63% & 6.56 for FUN NM, in Normal, COPD and ALI-ARDS categories respectively. Additionally evaluation against clinical disagreement SD has shown that 70.6% of the NN empirical models were performing in 90% of their suggestions within clinical SD, while the percentages were 53%, 53% and 59% for the EVOFINE, ANFIS and NN Normalized models respectively. The EVOFINE and ANFIS produced Fuzzy Systems whose architecture is transparent for the user. Visual observation of ANFIS architectures revealed possibly hazardous advices. Evaluation against clinical disagreement has shown that the NN empirical was not producing hazardous advices, while EVOFINE, ANFIS and NN Normalized were shown to produce potentially hazardous advice in 17.6%, 23% and 5.8% of the developed models.
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Goeller, Dale W. "Spreadsheet techniques for logistics decision support systems." Thesis, Monterey, California. Naval Postgraduate School, 1993. http://hdl.handle.net/10945/39793.
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Approved for public release; distribution is unlimited.This thesis considers the use of spreadsheet techniques as a foundation for the development of logistics decision support systems. An inventory model is presented to show the flexibility of spreadsheet techniques and demonstrate the use of various graphic
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Anadani, Mohamed. "Decision support systems for nuclear reactor control." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341828.
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Jenkins, William Owen. "Decision support systems in river basin management." Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/47123.
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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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Jackson-Smale, Andrew David. "Intelligent decision support systems for optimised diabetes." Thesis, Oxford Brookes University, 1993. https://radar.brookes.ac.uk/radar/items/cf9b324c-c59f-4b12-b511-1dbe692725f2/1/.
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Computers now pervade the field of medicine extensively; one recent innovation is the development of intelligent decision support systems for inexperienced or non-specialist pbysicians, or in some cases for use by patients. In this thesis a critical review of computer systems in medicine, with special reference to decision support systems, is followed by a detailed description of the development and evaluation of two new, interacting, intelligent decision support systems in the domain of diabetes. Since the discovery of insulin in 1922, insulin replacement therapy for the treatment of diabetes mellitus bas evolved into a complex process; there are many different formulations of insulin and much more information about the factors which affect patient management (e.g. diet, exercise and progression of complications) are recognised. Physicians have to decide on the most appropriate anti-diabetic therapy to prescribe to their patients. Insulin-treated patients also have to monitor their blood glucose and decide how much insulin to inject and when to inject it. In order to help patients determine the most appropriate dose of insulin to take, a simple-to-use, hand-held decision support system has been developed. Algorithms for insulin adjustment have been elicited and combined with general rules of therapy to offer advice for every dose. The utility of the system has been evaluated by clinical trials and simulation studies. In order to aid physician management, a clinic-based decision support system has also been developed. The system provides wide-ranging advice on all aspects of diabetes care and advises an appropriate therapy regimen according to individual patient circumstances. Decisions advised by the pbysician-related system have been evaluated by a panel of expert physicians and the system has undergone informal primary evaluation within the clinic setting. An interesting aspect of both systems is their ability to provide advice even in cases where information is lacking or uncertain.
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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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Ho, Tsan-hang. "Decision support systems in business management games /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2084301X.
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Suen, Fun-sing. "Decision support systems for real estate evaluation /." Hong Kong : University of Hong Kong, 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25939439.
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Fitz-Rodriguez, Efren. "Decision Support Systems for Greenhouse Tomato Production." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195798.
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The purpose of greenhouse crop systems is to generate a high quality product at high production rates, consistently, economically, efficiently and in a sustainable way. To achieve this level of productivity, accurate monitoring and control of some processes of the entire biophysical system must be implemented. In addition, the proper selection of actions at the strategic, tactical and operational management levels must be implemented.Greenhouse management relies largely on human expertise to adjust the appropriate optimum values for each of the production and environmental parameters, and most importantly, to verify by observation the desired crop responses. The subjective nature of observing the plant responses, directly affects the decision-making process (DMP) for selecting these `optimums'. Therefore, in this study several decision support systems (DSS) were developed to enhance the DMP at each of the greenhouse managerial levels.A dynamic greenhouse environment model was implemented in a Web-based interactive application which allowed for the selection of the greenhouse design, weather conditions, and operational strategies. The model produced realistic approximations of the dynamic behavior of greenhouse environments for 28-hour simulation periods and proved to be a valuable tool at the strategic and operational level by evaluating different design configurations and control strategies.A Web-based crop monitoring system was developed for enhancing remote diagnosis. This DSS automatically gathered and presented graphically environmental data and crop-oriented parameters from several research greenhouses. Furthermore, it allowed for real-time visual inspection of the crop.An intelligent DSS (i-DSS) based on crop records and greenhouse environment data from experimental trials and from commercial operations was developed to characterize the growth-mode of tomato plants with fuzzy modeling. This i-DSS allowed the discrimination of "reproductive", "vegetative" and "balanced" growth-modes in the experimental systems, and the seasonal growth-mode variation on the commercial application.An i-DSS based on commercial operation data was developed to predict the weekly fluctuations of harvest rates, fruit size and fruit developing time with dynamic neural networks (NN). The NN models accurately predicted weekly and seasonal fluctuations of each variable, having correlation coefficients (R) of 0.96, 0.87 and 0.94 respectively, when compared with a dataset used for independent validation.
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Ezz, Inas E. "Management support systems integration." Thesis, Brunel University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365077.
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James, Kyle. "DNA-MAP, a knowledge-based decision support system for Australian Defence Force forensic ancestry prediction." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/213211/1/Kyle_James_Thesis.pdf.
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Development of a Knowledge-Based Decision Support System to predict ancestry of the remains of missing World War Two soldiers in South-East Asia. By utilizing biological and historical information provided by the user, ancestry is assigned based on complex statistical analyses searching for distinctive patterns in the DNA that distinguish between the Australian and Japanese populations. Important features taken into consideration are the detection of a rare event, the effect of sample size and the impact of natural variation.
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Haupt, Kevin Paul. "Acquisition group decision support system." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA231426.
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Thesis (M.S. in Systems Technology)--Naval Postgraduate School, June 1990.Thesis Advisor(s): Lacer, Donald A. Second Reader: Zviran, Moshe. "June 1990." Description based on title screen as viewed on March 23, 2010. DTIC Identifier(s): Decision Support Systems, Military Procurement, Decision Making. Author(s) subject terms: Acquisition, Group Decision Support System. Includes bibliographical references (p. 64). Also available in print.
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Dupuits, François Marie Hubert Marcel. "Diagnostic decision support for general practitioners." Maastricht : Maastricht : Universiteit van Maastricht ; University Library, Maastricht University [Host], 1997. http://arno.unimaas.nl/show.cgi?fid=5904.
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Oeters, Justin. "Development of a Transit Decision Support System." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313767101.
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Downs, Michael S. "Developing integrated decision support systems from mathematical models." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA303712.
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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1995.Thesis advisor(s): H. Bhargava,R.K. Wood. "September 1995." Bibliography: p. 43. Also available online.
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Chen, Chen, Maura Dilley, and Marco Valente. "Improving Decision Support Systems for Water Resource Management." Thesis, Blekinge Tekniska Högskola, Avdelningen för maskinteknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2465.
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The Water Framework Directive (WFD) structures long-term plans for Europe's threatened water resources. Owning to the inherent and human-made complexities of the water cycle, stakeholders must move strategically to avoid crisis and restore sustainability. Yet, the reality of water resource management today is falling short on delivery. Stakeholders require strategic tools that will help them to build consensus and take action in the right direction. Using the Framework for Strategic Sustainable Development (FSSD), this study shows how Decision Support Systems can be strategically improved using a whole-systems approach grounded in basic Principles for Sustainability. In this way, stakeholders will be capable of making synchronized moves towards sustainability and thus more likely to realize the WFD’s goal of ‘good status’ for all European waterways by 2015.
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Ravizza, Stefan. "Enhancing decision support systems for airport ground movement." Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/13358/.
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With the expected continued increases in air transportation, the mitigation of the consequent delays and environmental effects is becoming more and more important, requiring increasingly sophisticated approaches for airside airport operations. The ground movement problem forms the link between other airside problems at an airport, such as arrival sequencing, departure sequencing, gate/stand allocation and stand holding. The purpose of this thesis is to contribute to airport ground movement research through obtaining a better understanding of the problem and producing new models and algorithms for three sub-problems. Firstly, many stakeholders at an airport can benefit from more accurate taxi time predictions. This thesis focuses upon this aim by analysing the important factors affecting taxi times for arrivals and departures and by comparing different regression models to analyse which one performs the best for this particular task. It was found that incorporating the information of the airport layout could significantly improve the accuracy and that a TSK fuzzy rule-based system outperformed other approaches. Secondly, a fast and flexible decision support system is introduced which can help ground controllers in an airport tower to make better routing and scheduling decisions and can also absorb as much of the waiting time as possible for departures at the gate/stand, to reduce the fuel burn and environmental impact. The results show potential maximum savings in total taxi time of about 30.3%, compared to the actual performance at the airport. Thirdly, a new research direction is explored which analyses the trade-off between taxi time and fuel consumption during taxiing. A sophisticated new model is presented to make such an analysis possible. Furthermore, this research provides the basis for integrating the ground movement problem with other airport operations. Datasets from Zurich Airport, Stockholm-Arlanda Airport, London Heathrow Airport and Hartsfield-Jackson Atlanta International Airport were utilised to test these sub-problems.
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Elgarah, Wafa. "A DIALECTICAL METHODOLOGY FOR DECISION SUPPORT SYSTEMS DESIGN." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2336.
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As organizations continue to grow in size, reaching global proportions, they have ever increasing impacts on their environments. Some believe that a much broader array of concerns should be brought into organizational decision-making processes, including greater consideration of social, political, ethical and aesthetic factors (Mitroff and Linstone, 1993; Courtney, 2001). Decision environments such as these are decidedly "wicked" (Rittel and Webber, 1973). Designing decision support systems in such environments where there is a high level of interconnectedness, issues are overlapping and a multiplicity of stakeholders is involved, is a very complex task. In this dissertation a methodology for the development of a DSS for wicked situations is proposed using the design theory building process suggested by Walls et al. (1992). This proposed theory is based on dialectic theory and the multiple perspective approach suggested by Linstone and Mitroff (1993). The design process consists of identifying relevant stakeholders, their respective worldviews, and conflicts in these worldviews. A design (thesis) and "counter design" (antithesis) are created, and a prototype systems based on these designs are developed. These prototypes are then presented to the different stakeholder groups who engage in a dialogue which leads to the development of a synthesized design. The process is repeated until all conflicts are resolved or resources are exhausted, and a final system is produced. Using action research and system development research methodologies, the proposed design theory was applied to zoning decision process in Orange County, Florida. The results of this study led to the following: 1. It is feasible to implement the MPDP methodology proposed in this dissertation. 2. The MPDP methodology resulted in a synthesized design that accommodates the different views of the stakeholders. 3. The MPDP methodology is suitable for contentious situations and may not be feasible for structured decisions. 4. Most of the subjects did achieve a more understanding of the decision process. These results suggest that the MPDP design theory can be effective in developing decision support systems in contentious situations.Ph.D.
Department of Management Information Systems
Business Administration
Business Administration: Ph.D.
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Eugenia, Mee Wah. "Alternative visual displays for effective decision support systems." Thesis, University of Warwick, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323300.
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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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Marghalany, Issam Kamal. "A decision support methodology for production systems optimisation." Thesis, Cranfield University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408907.
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Simmons, Willard Lennox. "A framework for decision support in systems architecting." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/42912.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.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. 187-198).
The objective of this thesis is to provide a method and tool to leverage computational resources to empower a systems architect to reason about architectural decisions more comprehensively and effectively compared to traditional approaches. This thesis provides a computational framework for decision support called the Architecture Decision Graph framework. It supports human decision-making by providing a methodology for generating and analyzing architectures as the result of a set of interrelated decisions. ADG's explicit representation of an interconnected decision problem is a bipartite graph of decision variables, property variables, logical constraints, and property functions. The Architecture Decision Graph's framework provide tools for reasoning about the structure of a decision problem, generating the set of feasible combinations of decisions, and simulating their outcome. The underlying computational engine used by ADG is the Object-Process Network (OPN) kernel. The contribution of this thesis to the field of systems architecting falls into three areas: First, the thesis contributes the ADG representation of an architectural candidate space as a set of interrelated decision variables. Second, the thesis contributes the ADG framework, which leverages the ADG representation of architecture to transform an architecting problem into a computational problem. Third, this thesis contributes decision space viewing tools, which present the potential impact of changes in the assignments of the decision variables to an architect. The ADG representation, analysis methodology, and tools are demonstrated with two applications. The first application is a retrospective study of the architectural decisions related to the development of the Apollo moon project of the 1960's. The second application is a study of decisions in support of NASA's lunar outpost architecting effort.
(cont) The applications include discussions of the practical considerations related to the use of ADG as a decision representation method, the efficiency of the simulation algorithm, and a discussion of the architecting insights that can be drawn from the results.
by Willard Lennox Simmons.
Ph.D.
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Mofokeng, Mpuse Frans. "Decision support systems for the Letsemeng Local Municipality." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/4054.
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Thesis (MPhil (Information Science))--University of Stellenbosch, 2009.ENGLISH ABSTRACT: Municipalities in South Africa, especially rural ones, have been struggling to deliver services to communities to the extent that government placed those worse-off under Project Consolidate. The implementation of Project Consolidate indicate that the capability of municipalities to deliver services to their communities faced several challenges. Most challenges are attributed to skills, processes, procedures and resources. During the dawn of democracy municipalities were merged into manageable demarcated areas for efficiency, effectiveness and inclusive governance to improve service delivery. The study primarily looks into whether DSS are implemented in Letsemeng Local Municipality and what the benefits are for service delivery to the community. The study was conducted in Letsemeng Local Municipality because it is representative of rural municipalities facing similar changes. It focuses on the administrative and political capability to transform Letsemeng Local Municipality into an effective service delivery vehicle. Administrative capability primarily concentrates on the ability of procedure, systems and management skills to manage a transformed municipal institution within the new democratic dispensation, while political capability concentrates on the role of politicians (councillors) on support and facilitation to meet the needs of the community. Taking these factors into consideration the role of DSS and IKM in successful service delivery was investigated through interviewing key managers (municipal, financial, technical and corporate managers) and analysing support documentation used by the municipality. It was discovered that the performance of Letsemeng Local Municipality is affected by the lack of DSS to support management and politicians, absence of appropriate IKM application for continuous service improvement, high turnover of staff leaving mostly unskilled and less experienced and to a lesser extent political interference. It was also concluded that the implementation of DSS and IKM cannot on its own improve service delivery, but improvement might be achieved if accompanied by Letsemeng Local Municipality BPR (Business Process Re-engineering).
AFRIKAANSE OPSOMMING: Munisipaliteite in Suid-Afrika, veral dié in landelike gebiede, sukkel dermate om dienste aan gemeenskappe te lewer dat die regering dié wat die slegste gevaar het, moes plaas onder Projek Konsolideer. Die implementering van Projek Konsolideer is ‘n aanduiding dat munisipaliteite se vermoë om dienste te lewer voor verskillende uitdagings te staan kom. Die meeste van die uitdagings word toegeskryf aan vaardighede, prosesse en hulpbronne. Met die aanbreek van demokrasie is munisipaliteite saamgesmelt in beheerbare afgebakende gebiede met die oog op doeltreffendheid, doelmatigheid en inklusiewe bestuur wat gemik is op verbeterde dienslewering. Hierdie studie ondersoek primêr of beslissingsteunstelsels (DSS) geïmplementeer word by die Letsemeng Plaaslike Munisipaliteit en watter voordele dit vir die gemeenskap inhou insoverre dit dienslewering betref. Die studie is in Letsemeng onderneem aangesien hierdie munisipaliteit verteenwoordigend is van munisipaliteite met soortgelyke uitdagings. Dit fokus op die administratiewe en politieke vermoë om die Letsemeng Plaaslike Munisipaliteit te omvorm in ‘n effektiewe instrument vir dienslewering. Administratiewe vermoë konsentreer primêr op die vermoë van prosedures, stelsels en bestuursvaardighede om ‘n getransformeerde munisipale instelling binne die nuwe demokratiese bestel te bestuur, terwyl politieke vermoë gerig is op die rol van politici (raadslede), ondersteuning en fasilitering om in die behoeftes van die gemeenskap te voldoen. Met inagneming van hierdie faktore is die rol van DSS en IKM (Inligting- en Kennisbestuur) in suksesvolle dienslewering ondersoek deur onderhoude te voer met sleutelbestuurders (munisipale-, finansiële-, tegniese- en bedryfsbestuurders) en deur ondersteunende dokumentasie wat deur die munisipaliteit gebruik word, na te gaan. Daar is bevind dat Letsemeng Plaaslike Munisipaliteit se werksverrigting geraak word deur ‘n gebrek aan DSS ter ondersteuning van bestuurslui en politici, die afwesigheid van toepaslike IKMaanwending vir voortgesette verbetering in dienslewering, hoë personeelomset as gevolg van werknemers wat bedank en minder geskoolde en minder ervare werknemers agterlaat en, in ‘n mindere mate, inmenging deur politici. Daar is ook vasgestel dat die implementering van DSS en IKM nie op sigself dienslewering sal verbeter nie, maar dit kan verbetering meebring indien dit saamval met die Letsemeng Plaaslike Munisipaliteit se BPR (Herbouing van die Bedryfsproses).
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Sutton, S. A., and C. S. Yu. "Integrated Media Technologies for Satellite Decision Support Systems." International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/611966.
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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, CaliforniaWithin the Aerospace industry, the operational community is facing staff reductions, reduced skill levels, and greater complexity of space assets and space missions. This combination requires that techniques be developed that more efficiently interface a human operator with a complex computer system. Operational support of complex space systems will be greatly facilitated by better presentation of information. The presentation and distribution of complex data must evolve towards formats that are easily and naturally embraced by our sensory systems. Some of the information technologies/techniques that facilitate the presentation of complex dynamic graphical data fall into a category called integrated media. The cost of implementing integrated media (IM) architectures has decreased substantially within in the past five years. While implementation costs continue to recede, the quality and value of information that can be presented using IM technologies continues to improve. Today's IM architect can select a variety of components including digital interactive video, 3D Navigable Worlds, Multimedia Authoring Systems, standardized compressors for IM data, low cost high volume storage systems, and operating system extensions for temporal data management. Together, these components form a solid foundation for the development of a variety of compelling IM architectures. Existing satellite support and mission data processing architectures typically present tabular data for assessment. Some "advanced" systems include 2D graphical projections of the data. System experts are generally trained to correlate relationships between tabular data items. The training required to "learn" these complex relationships is tedious and time consuming. This complexity impedes productivity and as space systems increase in sophistication, these techniques for data assessment are quickly becoming antiquated. The development of a prototype decision support system explores the utility of an integrated media documentation system as part of a full-featured decision support architecture for satellite operations.
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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 ScienceDepartment 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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Ceccucci, Wency A. "Decision support systems design: a nursing scheduling application." Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/40303.
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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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Chi, Chih-Lin. "Medical decision support systems based on machine learning." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/283.
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This dissertation discusses three problems from different areas of medical research and their machine learning solutions. Each solution is a distinct type of decision support system. They show three common properties: personalized healthcare decision support, reduction of the use of medical resources, and improvement of outcomes.
The first decision support system assists individual hospital selection. This system can help a user make the best decision in terms of the combination of mortality, complication, and travel distance. Both machine learning and optimization techniques are utilized in this type of decision support system. Machine learning methods, such as Support Vector Machines, learn a decision function. Next, the function is transformed into an objective function and then optimization methods are used to find the values of decision variables to reach the desired outcome with the most confidence.
The second decision support system assists diagnostic decisions in a sequential decision-making setting by finding the most promising tests and suggesting a diagnosis. The system can speed up the diagnostic process, reduce overuse of medical tests, save costs, and improve the accuracy of diagnosis. In this study, the system finds the test most likely to confirm a diagnosis based on the pre-test probability computed from the patient's information including symptoms and the results of previous tests. If the patient's disease post-test probability is higher than the treatment threshold, a diagnostic decision will be made, and vice versa. Otherwise, the patient needs more tests to help make a decision. The system will then recommend the next optimal test and repeat the same process.
The third decision support system recommends the best lifestyle changes for an individual to lower the risk of cardiovascular disease (CVD). As in the hospital recommendation system, machine learning and optimization are combined to capture the relationship between lifestyle and CVD, and then generate recommendations based on individual factors including preference and physical condition. The results demonstrate several recommendation strategies: a whole plan of lifestyle changes, a package of n lifestyle changes, and the compensatory plan (the plan that compensates for unwanted lifestyle changes or real-world limitations).