{"id":34044,"date":"1998-01-01T00:00:00","date_gmt":"1998-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/representacion-y-combinacion-de-la-informacion-con-incertidumbre-mediante-convexos-de-probabilidades\/"},"modified":"1998-01-01T00:00:00","modified_gmt":"1998-01-01T00:00:00","slug":"representacion-y-combinacion-de-la-informacion-con-incertidumbre-mediante-convexos-de-probabilidades","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/representacion-y-combinacion-de-la-informacion-con-incertidumbre-mediante-convexos-de-probabilidades\/","title":{"rendered":"Representacion y combinacion de la informacion con incertidumbre mediante convexos de probabilidades."},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Verdegay Lopez Juan  Francisco <\/strong><\/h2>\n<p>En esta memoria se trata sobre c\u00f3mo poder trabajar con informaci\u00f3n con incertidumbre. El m\u00e9todo elegido para representar dicha informaci\u00f3n son los politopos convexos de probabilidades. Adem\u00e1s, se considera el tema de actualizar dicha informaci\u00f3n cuando esta viene representada a trav\u00e9s de un hipergrafo. En el proceso de propagaci\u00f3n no se utilizaran las posibles relaciones de independencia subyacentes entre las informaciones.  para ello, se revisan distintos modelos de representaci\u00f3n de informaciones desde el punto de vista de los politopos convexos que definen. Se definen las operaciones de combinaci\u00f3n y marginaci\u00f3n (necesarias para el proceso de propagaci\u00f3n) estableciendo un algoritmo que permite el c\u00e1lculo. En el caso de la combinaci\u00f3n se aborda el problema de la inconsistencia parcial de informaciones, estableciendo distintos m\u00e9todos para medirla y eliminarla. Adem\u00e1s, se presenta un operador de extensi\u00f3n que va a permitir realizar la combinaci\u00f3n de informaciones sobre distintos referenciales.  el esquema de propagaci\u00f3n de informaciones de shafer y shenoy, particularizado al caso de los politopos convexos de probabilidades. Esta particularizaci\u00f3n se realiza tanto para informaciones consistentes como inconsistentes. Es este \u00faltimo caso, se define las operaciones de normalizaci\u00f3n cuyo objetivo es eliminar la inconsistencia antes de combinar. Se establecer\u00e1 entonces un nuevo esquema de propagaci\u00f3n que incluya esta operaci\u00f3n.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Representacion y combinacion de la informacion con incertidumbre mediante convexos de probabilidades.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Representacion y combinacion de la informacion con incertidumbre mediante convexos de probabilidades. <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Verdegay Lopez Juan  Francisco <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Granada<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1998<\/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>Serafin Moral Callejon<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Mar\u00eda  Amparo Vila Miranda <\/li>\n<li>Joan Jacas Moral (vocal)<\/li>\n<li>Buenaventura Clares Rodr\u00edguez (vocal)<\/li>\n<li> Hernandez Molinero Luis Daniel (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Verdegay Lopez Juan Francisco En esta memoria se trata sobre c\u00f3mo poder trabajar con informaci\u00f3n con incertidumbre. [&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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[1890,2528,126],"tags":[35611,22002,47112,3600,17147,92267],"class_list":["post-34044","post","type-post","status-publish","format-standard","hentry","category-ciencia-de-los-ordenadores","category-inteligencia-artificial","category-matematicas","tag-buenaventura-clares-rodriguez","tag-hernandez-molinero-luis-daniel","tag-joan-jacas-moral","tag-maria-amparo-vila-miranda","tag-serafin-moral-callejon","tag-verdegay-lopez-juan-francisco"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/34044","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=34044"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/34044\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=34044"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=34044"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=34044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}