Search for dissertations about: "Decision information"
Showing result 1 - 5 of 1551 swedish dissertations containing the words Decision information.
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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. Mind the Gap : Human Decision Making and Information Fusion
Abstract : Information fusion, i.e., the automatic integration of information from multiple sources, is an advancing research area which can assist decision makers in enhancing their decisions. Most information fusion research so far has had a technical focus and has paid relatively little attention to human decision making processes. READ MORE
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3. Decision Algebra : A General Approach to Learning and Using Classifiers
Abstract : Processing decision information is a vital part of Computer Science fields in which pattern recognition problems arise. Decision information can be generalized as alternative decisions (or classes), attributes and attribute values, which are the basis for classification. READ MORE
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4. BRIDGING THE INFORMATION GAP : Supporting Evidence-Based Medicine and Shared Decision-Making through Information Systems
Abstract : Practicing evidence-based medicine (EBM) and shared decision-making (SDM)along the patient process is important in today's healthcare environment, as thesemodels of care offer a way to improve quality and safety of care, patient satisfaction,and reduce costs. EBM is the conscientious and judicious use of current best medicalevidence in conjunction with clinical expertise. READ MORE
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5. Capturing semi-automated decision making : the methodology of CASADEMA
Abstract : This thesis presents a new methodology named CASADEMA (CApturing Semi-Automated DEcision MAking) which captures the interaction between humans and the technology they use to support their decision-making within the domain of Information Fusion. We are particularly interested in characterising the interaction between human decision makers and artefacts in semi-automated fusion processes. READ MORE