2009
DOI: 10.1016/j.eswa.2007.09.032
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Application of rough set and decision tree for characterization of premonitory factors of low seismic activity

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Cited by 46 publications
(24 citation statements)
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“…In rough set theory, aggregation or granularity is expressed by the partitions and the associated equivalence relations, also called indiscernibility relations, on sets of objects [8][9][10]. The data representation in the rough set requires the formation …”
Section: A Rough Set Theorymentioning
confidence: 99%
“…In rough set theory, aggregation or granularity is expressed by the partitions and the associated equivalence relations, also called indiscernibility relations, on sets of objects [8][9][10]. The data representation in the rough set requires the formation …”
Section: A Rough Set Theorymentioning
confidence: 99%
“…Foi feita uma análise de sensibilidade utilizando-se o conceito de destilação descendente e eliminando-se a alternativa casca de arroz, que ficou em última colocação em todas as ordenações (Tabelas 9, 10 e 11). Foi retirado o critério número de usinas, considerado irrelevante pela análise com uso da TCA (SIKDER;MUNAKATA, 2009). Posteriormente foi alterado o peso do critério produção de 2 para 5, valor intermediário entre 2 e 8, e alterado o peso do critério R$/MW de 4 para 5,5, valor intermediário entre 4 e 7 (Tabela 12).…”
Section: Destilação -Teoria Dos Conjuntos Aproximativos (Tca)unclassified
“…Information granulation, or the concept of indiscernibility, is at the heart of rough set theory [5][6][7][8]. Rough set theory offers an attribute reduction algorithm and the dependency metric for feature selection.…”
Section: Rough Set Theory: Inference Under Uncertaintymentioning
confidence: 99%