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The interpretation of the subclasses as fuzzy sets and the possibilistic approach provided a heuristic to establish influence zones of the centroids, allowing to achieve the \"don't know\" answer for unknown transients, that is, outside the training set."]},{"key":"dc:title","label":"Title","values":["Método de identificação de transientes com abordagem possibilística, otimizado por algoritmo genético"]}]}],"canonical_facts":{"dc:contributor.advisor":["Schirru, Roberto"],"dc:creator":["Almeida, José Carlos Soares de"],"dc:date.accessioned":["2019-02-08T01:35:17Z"],"dc:date.available":["2026-05-16T03:05:14Z"],"dc:date.issued":["2001-02"],"dc:description.abstract":["This work develops a method for transient identification based on a possibilistic approach, optimized by Genetic Algorithm to optimize the number of the centroids of the classes that represent the transients. 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