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Author(s): CAMPOS, A. T.; CASTRO, J. de O.; SCHIASSI, L.; YANAGI JUNIOR, T.; PIRES, M. de F. A.; MATTIOLI, C. C. ABSTRACT - The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input v... ... |
Author(s): BIONDI NETO, L.; MELLO, J. C. C. B. S. de; MEZA, L. A.; GOMES, E. G. Interval DEA frontiers are here used in situation where one input or output is subject to uncertainty in its measurement and is presented as an interval data. We built an efficient frontier without an... ... |
Author(s): MEZA, L. A.; GOMES, E. G.; MELLO, J. C. C. B. S. de; BIONDI NETO, L.
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Author(s): LOURENÇONI, D.; ABREU, P. G. de; YANAGI JUNIOR, T.; CAMPOS, A. T.; YANAGI, S. de N. M. Abstract: The selection of the type of fuzzy systems pertinence curve allows a better representation of the mathematical model and a smaller simulation error. We aimed to study the effect of pertinenc... ... |
Author(s): SANTOS, S. A.; LIMA, H. P. de; OLIVEIRA, L. O. F. de; TOMÁS, W. M.; ABREU, U. G. P. de; MASSRUHÁ, S. M. F. S.; PEROTTO-BALDIVIESO, H. L. Abstract: In this study, an index natural potential for livestock ranching (NPLR) at ranch level in the Pantanal wetland was obtained using landscape indicators combined with fuzzy inference process.... ... |
Author(s): ARBEX, W. A.; SILVA, M. V. G. B.; OLIVEIRA, F. C. DE; CARVALHO, L. A. V. DE
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Author(s): BARROS, B. R. de; SANTOS, E. L. dos; FREITAS. G. M. G. V.; GARCIA, J. B.; SANTOS, S. A.
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Author(s): SAQUI, D.; SAITO, J. H.; JORGE, L. A. de C.; PIASSI, R. B.
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Author(s): SAQUI, D.; SAITO, J. H.; JORGE, L. A. de C.; PIASSI, R. B.
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Author(s): CUNHA, L. M. S.; ANTUNES, J. F. G.; MOURA, M. F. Seres humanos são capazes de lidar com processos bastante complexos, baseados em informações imprecisas ou aproximadas. Para apoiar esses processos, os Sistemas de Inferência Fuzzy Inference Systems (... ... |
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