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Adaptive decision making systems

Bulacio, Pilar et al · SEDICI UNLP · 2005

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Author / responsible party
Bulacio, Pilar et al
Publisher
SEDICI UNLP
Year
2005
Language
English

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Given a population of classifiers, we consider the problem of designing highly compact and error adaptive decision making systems. A selection approach based on misclassification diversity and potential cooperation among classifiers is proposed. The compactness constraint allows us the efficient implementation of fuzzy integral combination rules regarding both the interpretability of fuzzy measures and low complexity of fuzzy integral operator. Experimental results show the feasibility of our approach. VI Workshop de Agentes y Sistemas Inteligentes (WASI) Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Bulacio, P. E. A. (2005). Adaptive decision making systems. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22982

MLA

Bulacio, Pilar et al. Adaptive decision making systems. SEDICI UNLP, 2005. http://sedici.unlp.edu.ar/handle/10915/22982.

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Bulacio, Pilar et al. 2005. Adaptive decision making systems. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22982.

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Bulacio, P. E. A. 2005, Adaptive decision making systems, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/22982 [Accessed 7 Aug. 2026].

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Title
Adaptive decision making systems
Author / contributors
Bulacio, Pilar et al
Publisher
SEDICI UNLP
Publication year
2005
Language
English

Subjects

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Ciencias Informáticas; scalability; multiclassifier system; fuzzy integral; Logic Programming
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