Synthesis of probabilistic fuzzy classifiers using GK clustering and bayesian estimation
The paper presents an automatic rule-base design of probabilistic fuzzy systems developed for classification tasks. The objective here is to present a methodology that allows the user to obtain a fuzzy classifier directly from training data, in which rules' antecedents are defined on the basis...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | por |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/13215 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/13215 |