Search for dissertations about: "Information Elicitation"
Showing result 1 - 5 of 57 swedish dissertations containing the words Information Elicitation.
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1. Development of Elicitation Methods for Managerial Decision Support
Abstract : Decision‐makers in organisations and businesses make numerous decisions every day, and these decisions are expected to be based on facts and carried out in a rational manner. However, most decisions are not based on precise information or careful analysis due to several reasons. People are, e.g. READ MORE
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2. An approach to systems engineering tool data representation and exchange
Abstract : Over the last decades computer based tools have been introduced to facilitate systems engineering processes. There are computer based tools for assisting engineers in virtually every aspect of the systems engineering process from requirement elicitation and analysis, over functional analysis, synthesis, implementation and verification. READ MORE
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3. Towards facilitating BI adoption in small and medium sized manufacturing companies
Abstract : This work concerns how to support Small and Medium sized Manufacturing Enterprises(SMMEs) with their Business Intelligence (BI) adoption, with the long term aim of supporting them in making better use of their BI investments and becoming (more)data-driven in their decision-making processes. Current BI research focuses primarily on larger enterprises, despite the fact that the majority of businesses are small or mediumsized. READ MORE
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4. Knowledge elicitation as abstraction of purposive behaviour
Abstract : Researchers use knowledge elicitation methods to document expert knowledge for the primary purpose of understanding cognitive processes and with this understanding, technical solutions to resolve human factors issues can be produced. This dissertation offers a novel perspective on knowledge elicitation as an abstraction process. READ MORE
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5. Web Applications for Large-Scale Decision Support : Preference Elicitation, Modeling and Visualization
Abstract : This thesis addresses the lack of effective and efficient technology design in current e-participation research by investigating two approaches that yet have not been explored to any great extent in the literature: decision science and data visualization. It is concerned with the problem of how to combine techniques from these two fields to achieve decision support in the context of e-participation; from preference elicitation and modeling to data analysis, visualization and final recommendations, such that it can provide value to practitioners. READ MORE