Pattern classification through fuzzy likelihood
| Autor: | Rosa M. Pidatella, Giovanni Gallo, Masoumeh Zeinali |
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| Jazyk: | English<br />French<br />Italian |
| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | Le Matematiche, Vol 70, Iss 2, Pp 135-146 (2015) |
| Druh dokumentu: | article |
| ISSN: | 0373-3505 2037-5298 |
| Popis: | This paper introduces a novel way to compute the membership function of a fuzzy set approximating the distribution of some observed data starting with their histogram. This membership function is in turn used to obtain a posteriori probability through a suitable version of the Bayesian formula. The ordering imposed by an overtaking relation between fuzzy numbers translates immediately into a dominance of the a posteriori probability of a class over another for a given observed value. In this way a crisp classification is eventually obtained. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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