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As a further improvement over existing dioid algebraic models, decision making capability is introduced to the developed dioid algebraic model.
The performance of logistic regression models, decision trees, and neural networks is systematically evaluated.
Using basic DEA models, decision maker is not able to identify most efficient DMU.
Another list of predictive models is linear models, decision trees, neural networks, clusters models, support vector machines, expert systems.
In order to build scoring models, decision functions must be generated that are based on running the learning algorithm on the feature vectors.
It is based upon an ontology to model the domain knowledge and a learning method to build the interpretable models (decision trees in this paper).
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We borrow the term prior from the Bayesian framework, which models decision-making under uncertainty.
The studies of interest included model-based economic evaluations of pharmacological interventions in MDD (e.g., Markov models, decision-tree models, and models based on mathematical equations).
In some models, decisions are made and enacted by the specialist team [ 16, 19].
He lectured/consulted globally and authored eight books on management, computer modelling, decision support, project management and quality, pure mathematics, probability and statistics.
Table 1 Aggregation Results of Leak Identification Model Model Decision Tree Naïve Bayes Deep Learning Original Accuracy 86 84 89 Aggregation Accuracy 100.
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