Abstract
This paper describes a fuzzy hybrid system to support the human semen analysis, that integrates the case and rule based reasoning. The module of case based reasoning uses a recovery scheme in two phases: first, recovery rules are used to generate a spermatic classification; second, the k-nearest neighbor technique (KNN) with a fuzzy similarity measure, is used to determine the degrees of severity to each alteration. In order to complete the solution of the new case, a module of rule based reasoning gives suggestions and observations from variables that do no affect this classification. Experimental results obtained show that the system provides a good percentage of successes; therefore it could be used as an instrument to support the decision-making process that carries out the professionals of this domain.
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Ramos, E., Núñez, H., Casañas, R. (2008). A Fuzzy Hybrid Intelligent System for Human Semen Analysis. In: Geffner, H., Prada, R., Machado Alexandre, I., David, N. (eds) Advances in Artificial Intelligence – IBERAMIA 2008. IBERAMIA 2008. Lecture Notes in Computer Science(), vol 5290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88309-8_43
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DOI: https://doi.org/10.1007/978-3-540-88309-8_43
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