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A new nonlinear classifier with a penalized signed fuzzy measure using effective genetic algorithm
This paper proposes a new nonlinear classifier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification accuracy and power by capturing all possible interactions among two or more attributes. This generalized approach was developed to address unsolved Choquet-...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2838252/ https://ncbi.nlm.nih.gov/pubmed/20300543 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2009.10.006 |
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