<?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>0121-750X</journal-id>
<journal-title><![CDATA[Ingeniería]]></journal-title>
<abbrev-journal-title><![CDATA[ing.]]></abbrev-journal-title>
<issn>0121-750X</issn>
<publisher>
<publisher-name><![CDATA[Universidad Distrital Francisco José de Caldas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0121-750X2020000100038</article-id>
<article-id pub-id-type="doi">10.14483/23448393.15620</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[FRand: MATLAB Toolbox for Fuzzy Random Number Simulation]]></article-title>
<article-title xml:lang="es"><![CDATA[FRand: Toolbox de MATLAB para Simulación de Números Aleatorios Difusos]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Figueroa-García]]></surname>
<given-names><![CDATA[Juan Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Tenjo-García]]></surname>
<given-names><![CDATA[Jhoan Sebastian]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Distrital Francisco José de Caldas  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional de Colombia  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2020</year>
</pub-date>
<volume>25</volume>
<numero>1</numero>
<fpage>38</fpage>
<lpage>49</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0121-750X2020000100038&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0121-750X2020000100038&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0121-750X2020000100038&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Context: This paper presents a MATLAB code implementation and the GUI (General User Interface) for fuzzy random variable generation. Based on previous theoretical results and applications, a MATLAB toolbox has been developed and tested for selected membership functions.  Method: A two-step methodology was used: i) a MATLAB toolbox was implemented to be used as interface and ii) all .m functions are available to be used as normal code. The main goal is to provide graphical and code-efficient tools to users.  Results: The main obtained results are the MATLAB GUI and code. In addition, some experiments were ran to evaluate its capabilities and some randomness statistical tests were successfully performed.  Conclusions: Satisfactory results were obtained from the implementation of the MATLAB code/toolbox. All randomness tests were accepted and all performed experiments shown stability of the toolbox even for large samples (&gt;10.000). Also, the code/toolbox are available online.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Contexto:  Este trabajo presenta una implementación de código de MATLAB y un GUI (interfaz de usuario) para la generación de variable aleatoria difusa. Basados en resultados teóricos y aplicación previos, un toolbox de MATLAB fué desarrollado y validado para diferentes funciones de pertenencia.  Método:  Una metodología de dos pasos ha sido implementada: i) un toolbox de MATLAB es implementado para usarse como interfaz y ii) todas las funciones .m están disponibles para usarse como código normal. La meta principal es proveer herramientas gráficas y de código a los usuarios  Resultados: Los resultados principales de este trabajo son el MATLAB GUI y el código subyacente. Adicionalmente, algunos experimentos fueron realizados para evaluar las capacidades del toolbox, y algunas pruebas estadísticas de aleatoriedad fueron realizadas con éxito.  Conclusiones:  Resultados satisfactorios de la implementación del código/toolbox de MATLAB fueron obtenidos. Todos los tests estadísticos fueron aceptados y todos los experimentos realizados mostraron que el toolbox es estable aún para tamaños de muestra grande (&gt;10.000). Adicionalmente, el toolbox/código está disponible online.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Fuzzy random numbers]]></kwd>
<kwd lng="en"><![CDATA[Random number generation]]></kwd>
<kwd lng="en"><![CDATA[MATLAB.]]></kwd>
<kwd lng="es"><![CDATA[Números aleatorios difusos]]></kwd>
<kwd lng="es"><![CDATA[generación de variable aleatoria]]></kwd>
<kwd lng="es"><![CDATA[MATLAB.]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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