Abstract
The elicitation of preferences is the most costly process of the ZAPROS III-i considering the human-computer interaction. We intend to integrate the method and decision trees in order to improve this process. As a study case, the data from a battery of tests of patients with possible diagnosis of Alzheimer’s disease will be used to structure a decision tree based on the characteristics that play the main role on the diagnosis, and a preference’s scale will be establish through the analysis of the resulting tree. Then, this scale will be loaded into the ZAPROS method in order to rank-order the involved tests.
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Tamanini, I., Pinheiro, P.R., dos Santos, C.N. (2012). A Hybrid Approach of Verbal Decision Analysis and Machine Learning. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_14
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DOI: https://doi.org/10.1007/978-3-642-32115-3_14
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