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Selecting the most suitable learning object in SCORM-compliant learning object recommendation system is a complex decision process. We exploit the techniques of collaborative concept map design, ontology explaining, an evidence reasoning that may be use to deal with uncertain decision making, an evaluation analysis model and the evidence combination rule of the Dempster-Shafer theory for supporting...
We propose a CBR-based clustering mechanism (CBR-C) approach to provide an effective cost estimation for software project development. The object of CBR-C approach is to reduce estimation error and time and try to assist managers easily figure out estimation process. We use clustering method to index cases for finding optimal set of features used to help managers find out important features. For a...
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