Intelligent Decision Support Systems: A SummarySlide 2UncertaintyDesign ProjectsIntelligent Decision Support Systems: A SummaryProgramming project•Applications to IDSS:Analysis TasksHelp-desk systemsClassificationDiagnosisTutoringSynthesis TasksKBPPE-commerceKnowledge Management•AI Introduction Overview•IDTAttribute-Value Rep.Decision TreesInduction•CBRIntroductionRepresentationSimilarityRetrievalAdaptation•Rule-based InferenceRule-based SystemsExpert SystemsSummary•Synthesis Tasks Planning Configuration•Uncertainty (MDP, Utility, Fuzzy logic)UncertaintyDegree of beliefsDegree of truthOne decision Sequence of decisionDecision theory = Probability + UtilityFuzzy LogicMDPsDesign ProjectsJeff Reuse of design patterns in BlueJOsafo Reuse of templates in MS Visual C++. Detailed functionalityTim Reuse of web design derivational traces in DreamweaverKiran Intelligent query re-writing for improving query answering. ScopeTed Emacs environment to correct programming errors. Abstract casesReddy Going beyond statistics to assist (CBR) planning of a cricket game.Ke Extending MS Outlook to schedule a plan of the activities. ExampleShreeramPersonalized navigation of web browsers. Chris Personalized web searches
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