A new Fuzzy β-NN classifier. Performance analysis
نویسندگان
چکیده
In this paper, the performance of a new fuzzy classifier, here called fuzzy β-NN, has been analyzed. The classifier classifies data according to the fuzzy membership values of the reference set inside the prespecified radius β. Members of the reference set outside the radius β have no influence on classification decision. The successful classification by the classifier depends on the parameters β and on the selected prototypes to the reference set. The effectiveness of the fuzzy β-NN classifier has been compared with very well known fuzzy k-NN classifier and the performance was evaluated with commonly used four datasets and also applied to fault identification of the actuator valve at one sugar factory within the DAMADICS RTN.
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