Resumen

COTO PALACIO, Jessica; JIMENEZ MARTINEZ, Yailen  y  NOWE, Ann. Application of neuro-fuzzy systems in the classification of reports in scheduling problems. Rev cuba cienc informat [online]. 2020, vol.14, n.4, pp. 34-47.  Epub 01-Dic-2020. ISSN 2227-1899.

Scheduling is a very broad area in which many researchers have focused in the past years. In most of the companies this process is usually done manually or semi automatically. In this work we propose the application of neuro-fuzzy systems in the classification of reports in scheduling problems, a necessary step to identify in which resource the report will be processed, in order to build the work sequence or schedule for the day. For the classification of the reports arriving to the system four neuro-fuzzy algorithms are used. The experiments show that the algorithm that obtains the best results is IVTURS, and the fuzzy rules obtained are analyzed to arrive to conclusions regarding the distributions of reports among the resources.

Palabras clave : report classification; scheduling problems; neuro-fuzzy systems.

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