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In this paper the issue of utilising multiple models for diagnosis of dynamic systems is explored. Models are defined by their properties; which are selected from the three categories: variables, relations, and structures. Also, Model-based Diagnosis is generally perceived to consist of three...
In this paper we propose the combined use of different methods to improve the data analysis process. This is obtained by combining inductive and deductive techniques. We also use different inductive techniques such as clustering algorithms, to derive data partition, and decision trees induction,...
The typical process of planning and scheduling a rotating workforce in an organization consists in designing shifts and then assigning employees to these shifts and to periods of rest (days-off). Successfully solving these problems has high practical relevance: Results from ergonomics indicate...
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