{"id":76609,"date":"2005-07-10T00:00:00","date_gmt":"2005-07-10T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/a-new-approach-to-the-synthesis-of-intelligible-fuzzy-models-from-input-output-data\/"},"modified":"2005-07-10T00:00:00","modified_gmt":"2005-07-10T00:00:00","slug":"a-new-approach-to-the-synthesis-of-intelligible-fuzzy-models-from-input-output-data","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/a-new-approach-to-the-synthesis-of-intelligible-fuzzy-models-from-input-output-data\/","title":{"rendered":"A new approach to the synthesis of intelligible fuzzy models from input-output data"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Carles Garriga Berga <\/strong><\/h2>\n<p>La l\u00f3gica difusa se ha aplicado de manera eficiente a problemas de modelado desde sus or\u00edgenes. Una de sus principales ventajas es que facilita una representaci\u00f3n comprensible del conocimiento. No obstante, la mayor\u00eda de los investigadores han centrado sus esfuerzos en lograr modelos exactos y han omitido las capacidades ling\u00ed\u00bc\u00edsticas de la l\u00f3gica difusa. As\u00ed, hoy en d\u00eda uno puede encontrar modelos difusos te\u00f3ricamente orientados a los humanos pero que normalmente son muy dif\u00edciles de entender (o incluso imposible).  esta tesis investiga los aspectos relacionados con los modelos difusos inteligibles puesto que desde que la ciencia demostr\u00f3 la aplicaci\u00f3n del modelado difuso en la b\u00fasqueda de modelos \u00f3ptimos en t\u00e9rminos del error (de hecho un modelo difuso es un aproximator universal), algunos aunque pocos investigadores han centrado sus esfuerzos en lograr modelos realmente inteligibles aun y perder cierta precisi\u00f3n.  en este trabajo proponemos una metodolog\u00eda completa capaz de hallar un modelo difuso inteligible de manera local (regla por regla) a partir de datos de entrada-salida. En este sentido determinamos el n\u00famero y la posici\u00f3n de los conjuntos difusos necesarios y tambi\u00e9n definimos las reglas ling\u00ed\u00bc\u00edsticas que los relacionan.  Para este prop\u00f3sito hemos desarrollado un proceso que paulativamente tiene en cuenta diversos pasos i t\u00e9cnicas, algunas de las cuales son contribuciones originales. El procedimiento completo se ha estudiado en detalle tal y como uno puede esperar de una tesis, argumentando las diferentes soluciones que se han considerado en cada paso.  el m\u00e9todo resultante es muy simple y tambi\u00e9n inteligible. Por lo tanto, obtiene los modelos finales con un coste computacional bajo que adem\u00e1s, facilita el ajuste de sus diferentes opciones seg\u00fan la naturaleza del problema y las caracter\u00edsticas de los usuarios.  en esta tesis explicamos la metodolog\u00eda entera y ilustramos sus ventajas (pero tambi<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>A new approach to the synthesis of intelligible fuzzy models from input-output data<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 A new approach to the synthesis of intelligible fuzzy models from input-output data <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Carles Garriga Berga <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Ram\u00f3n llull<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 07\/10\/2005<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Xavier Vilas\u00eds Cardona<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: josep Mar\u00eda Garrell guiu <\/li>\n<li>vicen\u00ed\u00a7 Torra revent\u00f3s (vocal)<\/li>\n<li>eduardo G\u00f3mez ram\u00edrez (vocal)<\/li>\n<li>oscar Cord\u00f3n (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Carles Garriga Berga La l\u00f3gica difusa se ha aplicado de manera eficiente a problemas de modelado desde [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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