<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2227-1899</journal-id>
<journal-title><![CDATA[Revista Cubana de Ciencias Informáticas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev cuba cienc informat]]></abbrev-journal-title>
<issn>2227-1899</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ediciones Futuro]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2227-18992020000400034</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Aplicación de sistemas neuroborrosos en la clasificación de reportes en problemas de secuenciación]]></article-title>
<article-title xml:lang="en"><![CDATA[Application of neuro-fuzzy systems in the classification of reports in scheduling problems]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Coto Palacio]]></surname>
<given-names><![CDATA[Jessica]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jiménez Martínez]]></surname>
<given-names><![CDATA[Yailen]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nowé]]></surname>
<given-names><![CDATA[Ann]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,UEB Hotel Los Caneyes  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Central &#8220;Marta Abreu&#8221; de Las Villas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="Af3">
<institution><![CDATA[,Vrije Universiteit Brussel  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>14</volume>
<numero>4</numero>
<fpage>34</fpage>
<lpage>47</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2227-18992020000400034&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2227-18992020000400034&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2227-18992020000400034&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La secuenciación de tareas es un área muy amplia en la cual muchos investigadores se han enfocado en los últimos años. En las empresas generalmente esta planificación se realiza de forma manual o semiautomática. En este trabajo se propone la aplicación de sistemas neuroborrosos en la clasificación de reportes en problemas de secuenciación, paso necesario para identificar en que recurso se procesará el reporte y posteriormente conformar la secuencia o planificación de trabajo del día. Para la clasificación de los reportes que arriban al sistema se utilizan cuatro algoritmos neuroborrosos. Los experimentos muestran que el algoritmo que mejores resultados obtiene es IVTURS, y las reglas difusas obtenidas por el mismo son analizadas para arribar a conclusiones sobre la distribución de reportes entre los recursos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT 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.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[clasificación de reportes]]></kwd>
<kwd lng="es"><![CDATA[secuenciación de tareas]]></kwd>
<kwd lng="es"><![CDATA[sistemas neuroborrosos]]></kwd>
<kwd lng="en"><![CDATA[report classification]]></kwd>
<kwd lng="en"><![CDATA[scheduling problems]]></kwd>
<kwd lng="en"><![CDATA[neuro-fuzzy systems]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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