IctNeo system for jaundice management
C. Bielza, M. Gómez, S. Ríos-Insua, J. A. Fernández Del Pozo, P. García Barreno, S. Caballero, M. Sánchez Luna (1998)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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C. Bielza, M. Gómez, S. Ríos-Insua, J. A. Fernández Del Pozo, P. García Barreno, S. Caballero, M. Sánchez Luna (1998)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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C. Bielza, M. Gómez, S. Ríos-Insua, P. García Barreno, M. Sánchez Luna, A. Mateos, M. Sánchez Luna, D. Blanco (1998)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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Milani, A.S., Shanian, A., El-Lahham, C. (2006)
Journal of Applied Mathematics and Decision Sciences
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L. Ustinovichius, E.K. Zavadkas, V. Podvezko (2007)
Control and Cybernetics
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Rong Zhang, Bin Liu, Sifeng Liu (2010)
Computer Science and Information Systems
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Xenofon Damaskos, Glykeria Kalfakakou (2005)
The Yugoslav Journal of Operations Research
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Wettergren, Thomas A., Baylog, John G. (2010)
Advances in Decision Sciences
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Serafim Opricovic, Gwo-Hshiung Tzeng (2008)
The Yugoslav Journal of Operations Research
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H. P. Young (1990)
Mathématiques et Sciences Humaines
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Condorcet believed that the purpose of voting is to make a choice that is “best” for society. According to his view, there is one choice that is objectively best, another that is second-best, and so forth. Unfortunately, voters sometimes make mistakes ; they misperceive what is best. In designing a voting rule, therefore, the objective should be to choose the alternative that is most likely to be best. Condorcet solved this problem using a form of maximum likelihood estimation. The procedure...
A. Hertz, B. Jaumard, C. C. Ribeiro, W. P. Formosinho Filho (1994)
RAIRO - Operations Research - Recherche Opérationnelle
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N. I. Karacapilidis, C. P. Pappis, G. I. Adamopulos (1996)
The Yugoslav Journal of Operations Research
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Krzysztof Pancerz, Arkadiusz Lewicki, Ryszard Tadeusiewicz (2015)
International Journal of Applied Mathematics and Computer Science
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In the paper, the problem of extraction of complex decision rules in simple decision systems over ontological graphs is considered. The extracted rules are consistent with the dominance principle similar to that applied in the dominancebased rough set approach (DRSA). In our study, we propose to use a heuristic algorithm, utilizing the ant-based clustering approach, searching the semantic spaces of concepts presented by means of ontological graphs. Concepts included in the semantic spaces...